{
  "aboutHtml": "<p>Qwen3-ASR-1.7B — Qwen3-ASR oilasidagi Qwen’ning kattaroq nutq tanish modeli. U audio qabul qilib, tanilgan matnni til yorlig‘i bilan birga qaytaradi. Oila Qwen3-Omni’ning audioni tushunish asosiga tayanadi va oflayn hamda oqimli tanish uchun bitta ASR modelidan foydalanadi. 1.7B versiyasi tanish sifatiga, alohida nomlangan 0.6B versiyasi esa samaradorlikka urg‘u beradi. Hujjatlashtirilgan til qamrovi va tanish jarayonlari umumiy bo‘lsa-da, bu versiyalar alohida tanlov bo‘lib qoladi.</p><h4>Tilni aniqlash va audio qamrovi</h4><p>Ishlab chiqaruvchi 30 til va 22 xitoy lahjasini, shuningdek, bir nechta hududning ingliz aksentlarini sanaydi. Til ro‘yxatiga xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vetnam, yapon, turk, hindiy, malay, niderland, shved, daniya, fin, polyak, chex, filipin, fors, yunon, venger, makedon va rumin tillari kiradi. Qo‘llab-quvvatlanadigan audio turlari nutq, kuylash ovozi va fon musiqasi bor qo‘shiqlarni o‘z ichiga oladi. Bu qobiliyatlar qiyin parchalarni tekshirish uchun asl audio saqlangan holda suhbatlar, ma’ruzalar, ovoz yozuvlari va qo‘shiq matni ko‘rib chiqishida transkriptni foydali qiladi.</p><h4>Audioni tayyorlash va transkript olish</h4><p>Ishlab chiqaruvchi vositalari audiofayl havolasi, kodlangan audio yoki namunalash chastotasi bilan berilgan to‘lqin shaklini qabul qiladi, oflayn jarayoni esa yozuvlar to‘plamini qayta ishlashi mumkin. U tilni avtomatik aniqlaydi yoki belgilangan qo‘llab-quvvatlanuvchi tildan foydalanadi. Noma’lum yozuv uchun avtomatik aniqlashni tanlang; til ma’lum va vazifaga tegishli bo‘lsa, haqiqatan gapirilgan tilni bering. Misol natijasi aniqlangan yoki tanlangan til va tanilgan matnni chiqaradi. Til sozlamasi mazmunni boshqa tilda qayta yozish so‘rovini belgilamay, yozuvni tanishga yo‘l ko‘rsatadi.</p><p>Suhbat uchun yozuvni sanasi, mavzusi va manba identifikatori bilan bog‘liq saqlab, qaytgan matnni qidiriladigan transkript sifatida ishlating. Ma’ruzada ko‘rib chiqish paytida noaniq so‘zlarni ishonarli izohga jim almashtirmay, texnik atamalar va sonli ifodalarni saqlang. Qo‘shiqda vokalni tinglab tanilgan matnni tekshiring, ayniqsa musiqa bo‘g‘inni yashiradigan joylarda. Matni audioga nisbatan tekshirilgach, transkript alohida umumlashtirish, tarjima yoki tahrir bosqichiga kirish bo‘lishi mumkin.</p><h4>Oqimli tanish va uning doirasi</h4><p>Ayni ASR oilasi audio kelayotganda tanishni qo‘llab-quvvatlaydi. Ishlab chiqaruvchining oqimli misoli saqlangan tanish holatiga ketma-ket audio qismlarini beradi, oraliq matnni ko‘rsatadi, so‘ng yakuniy til va transkriptni olish uchun oqimni tugatadi. Jonli subtitr yoki davom etayotgan transkriptni tayyorlashda joriy bosqichma-bosqich matnni tugallangan natijadan ajrating. Hujjatlashtirilgan oqimli amalga oshirish oqimni paketli inferens bilan birlashtirmaydi va vaqt belgilarini qaytarmaydi; vaqtli transkript boshqa jarayondan foydalanadi. Bular ilovaning transporti yoki jonli subtitr interfeysi haqidagi va’da emas, ishlab chiqaruvchi amalga oshirish tafsilotlaridir.</p><h4>Alohida tekislovchi bilan so‘z yoki belgi vaqtini aniqlash</h4><p>Qwen3-ForcedAligner-0.6B audioyozuvni berilgan matn bilan tekislab, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini taxmin qiladi. U Qwen3-ASR’ning ikkala versiyasidan ham alohida modeldir. ASR vositalari oflayn transkripsiya jarayonida vaqt belgilari so‘ralganda shu tekislovchidan foydalanishi yoki tekislash mavjud matn–audio juftida bajarilishi mumkin. Tekislovchining hujjatlashtirilgan qamrovi 11 til: xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan. Ko‘rsatilgan nutq oralig‘i besh daqiqagacha; bu ASR transkripsiyasi uchun besh daqiqali chegara emas, tekislovchining doirasidir.</p><p>Subtitr tayyorlashda avval transkriptni oling va ko‘rib chiqing, keyin tegishli tekislash jarayoni mos keladigan joyda uni manba yozuviga tekislang. Qaytgan boshlanish va tugash vaqtlaridan subtitr segmentlarini tayyorlashda foydalaning va tinglab chegaralarini tekshiring. Tekislash berilgan so‘zlarni audio bilan bog‘laydi; uni noto‘g‘ri transkript tuzatilganining isboti deb bilmaslik kerak. Foydali artefakt — o‘zi tasvirlagan yozuvga bog‘liqligini saqlaydigan vaqt ma’lumoti bor tekshirilgan transkript.</p><h4>Uzun yozuvlar va amaliy cheklovlar</h4><p>Oila uzun audioni transkripsiya qilishni qo‘llab-quvvatlaydi, rasmiy misollar esa uzunroq kirish uchun ko‘proq yaratiladigan matnga ruxsat berishni ko‘rsatadi. Namunaviy token sozlamalari umumiy model konteksti yoki audio davomiyligi chegarasi emas, konfiguratsiya tanlovidir. Chiqish hajmini yozuvga qarab rejalang va oxirgi qismi borligini tekshiring. Nomlar, miqdorlar, til almashishi, yopilgan so‘zlar va ustma-ust nutqni asl tovushga nisbatan ko‘rib chiqing. Til qamrovi va murakkab audioga chidamlilik har aksent, yozuv yoki musiqa aranjirovkasida xatosiz transkriptni kafolatlamaydi. To‘liq natija tanilgan matn, uning tili va audio bilan bog‘liqligini saqlaydi, shunda uni qidirish, tahrirlash yoki keyingi kontent jarayonida ishlatish mumkin.</p>",
  "aboutText": "Qwen3-ASR-1.7B — Qwen3-ASR oilasidagi Qwen’ning kattaroq nutq tanish modeli. U audio qabul qilib, tanilgan matnni til yorlig‘i bilan birga qaytaradi. Oila Qwen3-Omni’ning audioni tushunish asosiga tayanadi va oflayn hamda oqimli tanish uchun bitta ASR modelidan foydalanadi. 1.7B versiyasi tanish sifatiga, alohida nomlangan 0.6B versiyasi esa samaradorlikka urg‘u beradi. Hujjatlashtirilgan til qamrovi va tanish jarayonlari umumiy bo‘lsa-da, bu versiyalar alohida tanlov bo‘lib qoladi.\n\n### Tilni aniqlash va audio qamrovi\n\nIshlab chiqaruvchi 30 til va 22 xitoy lahjasini, shuningdek, bir nechta hududning ingliz aksentlarini sanaydi. Til ro‘yxatiga xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vetnam, yapon, turk, hindiy, malay, niderland, shved, daniya, fin, polyak, chex, filipin, fors, yunon, venger, makedon va rumin tillari kiradi. Qo‘llab-quvvatlanadigan audio turlari nutq, kuylash ovozi va fon musiqasi bor qo‘shiqlarni o‘z ichiga oladi. Bu qobiliyatlar qiyin parchalarni tekshirish uchun asl audio saqlangan holda suhbatlar, ma’ruzalar, ovoz yozuvlari va qo‘shiq matni ko‘rib chiqishida transkriptni foydali qiladi.\n\n### Audioni tayyorlash va transkript olish\n\nIshlab chiqaruvchi vositalari audiofayl havolasi, kodlangan audio yoki namunalash chastotasi bilan berilgan to‘lqin shaklini qabul qiladi, oflayn jarayoni esa yozuvlar to‘plamini qayta ishlashi mumkin. U tilni avtomatik aniqlaydi yoki belgilangan qo‘llab-quvvatlanuvchi tildan foydalanadi. Noma’lum yozuv uchun avtomatik aniqlashni tanlang; til ma’lum va vazifaga tegishli bo‘lsa, haqiqatan gapirilgan tilni bering. Misol natijasi aniqlangan yoki tanlangan til va tanilgan matnni chiqaradi. Til sozlamasi mazmunni boshqa tilda qayta yozish so‘rovini belgilamay, yozuvni tanishga yo‘l ko‘rsatadi.\n\nSuhbat uchun yozuvni sanasi, mavzusi va manba identifikatori bilan bog‘liq saqlab, qaytgan matnni qidiriladigan transkript sifatida ishlating. Ma’ruzada ko‘rib chiqish paytida noaniq so‘zlarni ishonarli izohga jim almashtirmay, texnik atamalar va sonli ifodalarni saqlang. Qo‘shiqda vokalni tinglab tanilgan matnni tekshiring, ayniqsa musiqa bo‘g‘inni yashiradigan joylarda. Matni audioga nisbatan tekshirilgach, transkript alohida umumlashtirish, tarjima yoki tahrir bosqichiga kirish bo‘lishi mumkin.\n\n### Oqimli tanish va uning doirasi\n\nAyni ASR oilasi audio kelayotganda tanishni qo‘llab-quvvatlaydi. Ishlab chiqaruvchining oqimli misoli saqlangan tanish holatiga ketma-ket audio qismlarini beradi, oraliq matnni ko‘rsatadi, so‘ng yakuniy til va transkriptni olish uchun oqimni tugatadi. Jonli subtitr yoki davom etayotgan transkriptni tayyorlashda joriy bosqichma-bosqich matnni tugallangan natijadan ajrating. Hujjatlashtirilgan oqimli amalga oshirish oqimni paketli inferens bilan birlashtirmaydi va vaqt belgilarini qaytarmaydi; vaqtli transkript boshqa jarayondan foydalanadi. Bular ilovaning transporti yoki jonli subtitr interfeysi haqidagi va’da emas, ishlab chiqaruvchi amalga oshirish tafsilotlaridir.\n\n### Alohida tekislovchi bilan so‘z yoki belgi vaqtini aniqlash\n\nQwen3-ForcedAligner-0.6B audioyozuvni berilgan matn bilan tekislab, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini taxmin qiladi. U Qwen3-ASR’ning ikkala versiyasidan ham alohida modeldir. ASR vositalari oflayn transkripsiya jarayonida vaqt belgilari so‘ralganda shu tekislovchidan foydalanishi yoki tekislash mavjud matn–audio juftida bajarilishi mumkin. Tekislovchining hujjatlashtirilgan qamrovi 11 til: xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan. Ko‘rsatilgan nutq oralig‘i besh daqiqagacha; bu ASR transkripsiyasi uchun besh daqiqali chegara emas, tekislovchining doirasidir.\n\nSubtitr tayyorlashda avval transkriptni oling va ko‘rib chiqing, keyin tegishli tekislash jarayoni mos keladigan joyda uni manba yozuviga tekislang. Qaytgan boshlanish va tugash vaqtlaridan subtitr segmentlarini tayyorlashda foydalaning va tinglab chegaralarini tekshiring. Tekislash berilgan so‘zlarni audio bilan bog‘laydi; uni noto‘g‘ri transkript tuzatilganining isboti deb bilmaslik kerak. Foydali artefakt — o‘zi tasvirlagan yozuvga bog‘liqligini saqlaydigan vaqt ma’lumoti bor tekshirilgan transkript.\n\n### Uzun yozuvlar va amaliy cheklovlar\n\nOila uzun audioni transkripsiya qilishni qo‘llab-quvvatlaydi, rasmiy misollar esa uzunroq kirish uchun ko‘proq yaratiladigan matnga ruxsat berishni ko‘rsatadi. Namunaviy token sozlamalari umumiy model konteksti yoki audio davomiyligi chegarasi emas, konfiguratsiya tanlovidir. Chiqish hajmini yozuvga qarab rejalang va oxirgi qismi borligini tekshiring. Nomlar, miqdorlar, til almashishi, yopilgan so‘zlar va ustma-ust nutqni asl tovushga nisbatan ko‘rib chiqing. Til qamrovi va murakkab audioga chidamlilik har aksent, yozuv yoki musiqa aranjirovkasida xatosiz transkriptni kafolatlamaydi. To‘liq natija tanilgan matn, uning tili va audio bilan bog‘liqligini saqlaydi, shunda uni qidirish, tahrirlash yoki keyingi kontent jarayonida ishlatish mumkin.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">Al</span><h2 id=\"sheet-title\">Qwen: Qwen3 ASR 1.7B</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Alibaba /</span><code>qwen/qwen3-asr-1.7b</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|transcriptions|/v1/audio/transcriptions|qwen%2Fqwen3-asr-1.7b\">Nutqni tanish</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">Qwen3-ASR-1.7B nutq va qo‘shiq aytishni matnga aylantirib, tilni aniqlaydi. Qwen 30 til, 22 xitoy lahjasi va oflayn yoki oqimli tanishni hujjatlashtiradi; so‘z darajasidagi vaqt belgilash alohida Qwen3-ForcedAligner jarayonidan foydalanadi.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Audio</dd></div><div><dt>Natijalar</dt><dd>Matn</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Qwen3-ASR-1.7B — Qwen3-ASR oilasidagi Qwen’ning kattaroq nutq tanish modeli. U audio qabul qilib, tanilgan matnni til yorlig‘i bilan birga qaytaradi. Oila Qwen3-Omni’ning audioni tushunish asosiga tayanadi va oflayn hamda oqimli tanish uchun bitta ASR modelidan foydalanadi. 1.7B versiyasi tanish sifatiga, alohida nomlangan 0.6B versiyasi esa samaradorlikka urg‘u beradi. Hujjatlashtirilgan til qamrovi va tanish jarayonlari umumiy bo‘lsa-da, bu versiyalar alohida tanlov bo‘lib qoladi.</p><h4>Tilni aniqlash va audio qamrovi</h4><p>Ishlab chiqaruvchi 30 til va 22 xitoy lahjasini, shuningdek, bir nechta hududning ingliz aksentlarini sanaydi. Til ro‘yxatiga xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vetnam, yapon, turk, hindiy, malay, niderland, shved, daniya, fin, polyak, chex, filipin, fors, yunon, venger, makedon va rumin tillari kiradi. Qo‘llab-quvvatlanadigan audio turlari nutq, kuylash ovozi va fon musiqasi bor qo‘shiqlarni o‘z ichiga oladi. Bu qobiliyatlar qiyin parchalarni tekshirish uchun asl audio saqlangan holda suhbatlar, ma’ruzalar, ovoz yozuvlari va qo‘shiq matni ko‘rib chiqishida transkriptni foydali qiladi.</p><h4>Audioni tayyorlash va transkript olish</h4><p>Ishlab chiqaruvchi vositalari audiofayl havolasi, kodlangan audio yoki namunalash chastotasi bilan berilgan to‘lqin shaklini qabul qiladi, oflayn jarayoni esa yozuvlar to‘plamini qayta ishlashi mumkin. U tilni avtomatik aniqlaydi yoki belgilangan qo‘llab-quvvatlanuvchi tildan foydalanadi. Noma’lum yozuv uchun avtomatik aniqlashni tanlang; til ma’lum va vazifaga tegishli bo‘lsa, haqiqatan gapirilgan tilni bering. Misol natijasi aniqlangan yoki tanlangan til va tanilgan matnni chiqaradi. Til sozlamasi mazmunni boshqa tilda qayta yozish so‘rovini belgilamay, yozuvni tanishga yo‘l ko‘rsatadi.</p><p>Suhbat uchun yozuvni sanasi, mavzusi va manba identifikatori bilan bog‘liq saqlab, qaytgan matnni qidiriladigan transkript sifatida ishlating. Ma’ruzada ko‘rib chiqish paytida noaniq so‘zlarni ishonarli izohga jim almashtirmay, texnik atamalar va sonli ifodalarni saqlang. Qo‘shiqda vokalni tinglab tanilgan matnni tekshiring, ayniqsa musiqa bo‘g‘inni yashiradigan joylarda. Matni audioga nisbatan tekshirilgach, transkript alohida umumlashtirish, tarjima yoki tahrir bosqichiga kirish bo‘lishi mumkin.</p><h4>Oqimli tanish va uning doirasi</h4><p>Ayni ASR oilasi audio kelayotganda tanishni qo‘llab-quvvatlaydi. Ishlab chiqaruvchining oqimli misoli saqlangan tanish holatiga ketma-ket audio qismlarini beradi, oraliq matnni ko‘rsatadi, so‘ng yakuniy til va transkriptni olish uchun oqimni tugatadi. Jonli subtitr yoki davom etayotgan transkriptni tayyorlashda joriy bosqichma-bosqich matnni tugallangan natijadan ajrating. Hujjatlashtirilgan oqimli amalga oshirish oqimni paketli inferens bilan birlashtirmaydi va vaqt belgilarini qaytarmaydi; vaqtli transkript boshqa jarayondan foydalanadi. Bular ilovaning transporti yoki jonli subtitr interfeysi haqidagi va’da emas, ishlab chiqaruvchi amalga oshirish tafsilotlaridir.</p><h4>Alohida tekislovchi bilan so‘z yoki belgi vaqtini aniqlash</h4><p>Qwen3-ForcedAligner-0.6B audioyozuvni berilgan matn bilan tekislab, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini taxmin qiladi. U Qwen3-ASR’ning ikkala versiyasidan ham alohida modeldir. ASR vositalari oflayn transkripsiya jarayonida vaqt belgilari so‘ralganda shu tekislovchidan foydalanishi yoki tekislash mavjud matn–audio juftida bajarilishi mumkin. Tekislovchining hujjatlashtirilgan qamrovi 11 til: xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan. Ko‘rsatilgan nutq oralig‘i besh daqiqagacha; bu ASR transkripsiyasi uchun besh daqiqali chegara emas, tekislovchining doirasidir.</p><p>Subtitr tayyorlashda avval transkriptni oling va ko‘rib chiqing, keyin tegishli tekislash jarayoni mos keladigan joyda uni manba yozuviga tekislang. Qaytgan boshlanish va tugash vaqtlaridan subtitr segmentlarini tayyorlashda foydalaning va tinglab chegaralarini tekshiring. Tekislash berilgan so‘zlarni audio bilan bog‘laydi; uni noto‘g‘ri transkript tuzatilganining isboti deb bilmaslik kerak. Foydali artefakt — o‘zi tasvirlagan yozuvga bog‘liqligini saqlaydigan vaqt ma’lumoti bor tekshirilgan transkript.</p><h4>Uzun yozuvlar va amaliy cheklovlar</h4><p>Oila uzun audioni transkripsiya qilishni qo‘llab-quvvatlaydi, rasmiy misollar esa uzunroq kirish uchun ko‘proq yaratiladigan matnga ruxsat berishni ko‘rsatadi. Namunaviy token sozlamalari umumiy model konteksti yoki audio davomiyligi chegarasi emas, konfiguratsiya tanlovidir. Chiqish hajmini yozuvga qarab rejalang va oxirgi qismi borligini tekshiring. Nomlar, miqdorlar, til almashishi, yopilgan so‘zlar va ustma-ust nutqni asl tovushga nisbatan ko‘rib chiqing. Til qamrovi va murakkab audioga chidamlilik har aksent, yozuv yoki musiqa aranjirovkasida xatosiz transkriptni kafolatlamaydi. To‘liq natija tanilgan matn, uning tili va audio bilan bog‘liqligini saqlaydi, shunda uni qidirish, tahrirlash yoki keyingi kontent jarayonida ishlatish mumkin.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Transkripsiya</b> <code>POST /v1/audio/transcriptions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>audio</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>qwen/qwen3-asr-1.7b</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">input_audio</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">language</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 0</div><div>Eng ko‘p: 1</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>json, verbose_json</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>json</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">timestamp_granularities</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, input_audio</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>audio</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div class=\"card-result-process\" data-billing-basis><h5>Yakuniy to‘lov qanday hisoblanadi</h5><p class=\"note-s\">Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Taqqoslash uchun taxminiy tariflar</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Prognoz miqdori</th><th>Hisob birligi</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Kirish audiosi soniyasi</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>kirish audiosining soniyasi uchun</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish audiosi soniyasi · Faqat taqqoslash uchun taxmin</span> <b>$0.000015</b> <span class=\"price-unit\">kirish audiosining soniyasi uchun</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Yaratishning taxminiy qiymati</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>bir generatsiya uchun taxmin</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin</span> <b>$0.000015</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Transkripsiya</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2390-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2390-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Asl API formatiga aynan mos so‘rov tanasi va to‘liq natija</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2390-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2390-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ[&#39;AILOOT_AUDIO_FILE&#39;]).read_bytes()\nif not (audio[:4]==b&#39;RIFF&#39; and audio[8:12]==b&#39;WAVE&#39;): raise SystemExit(&#39;Supply an actual WAV audio file&#39;)\nif len(audio)&gt;26214400: raise SystemExit(&#39;Use a documented supported large-file flow&#39;)\nrequest={&#39;model&#39;: &#39;qwen/qwen3-asr-1.7b&#39;, &#39;input_audio&#39;: {&#39;data&#39;: &#39;${BASE64_ACTUAL_WAV_BYTES}&#39;, &#39;format&#39;: &#39;wav&#39;}}\nrequest[&#39;input_audio&#39;][&#39;data&#39;]=base64.b64encode(audio).decode(&#39;ascii&#39;)\nPath(&#39;request.json&#39;).write_text(json.dumps(request,ensure_ascii=False),encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Transkripsiya</h4><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Boshqa kontentni o‘qish</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2391-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2391-panel-0\" aria-selected=\"true\" tabindex=\"0\">O‘zingizga tegishli mavjud materiallarni o‘qish</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2391-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2391-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">text</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">words[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">speaker fields</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">timestamps</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=qwen%2Fqwen3-asr-1.7b&amp;route=Ultra&amp;caller=qwen%2Fqwen3-asr-1.7b&amp;fmt=transcriptions\"><code>qwen/qwen3-asr-1.7b</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\">Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.</p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=qwen%2Fqwen3-asr-1.7b&amp;route=Ultra&amp;caller=qwen%2Fqwen3-asr-1.7b&amp;fmt=transcriptions\"><code>qwen/qwen3-asr-1.7b</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "qwen/qwen3-asr-1.7b",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "qwen/qwen3-asr-1.7b",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|qwen%2Fqwen3-asr-1.7b",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "qwen/qwen3-asr-1.7b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "qwen/qwen3-asr-1.7b"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "qwen/qwen3-asr-1.7b"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi."
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'qwen/qwen3-asr-1.7b', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Transkripsiya",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "qwen/qwen3-asr-1.7b",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.000015",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.000015",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          },
          {
            "amount": "0.000015",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.000015",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "qwen/qwen3-asr-1.7b",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8614a49769387c35909a5a2cfa9e8fdea7b8e4a14917c0eb636a18db5cf6ae74",
    "input_html_sha256": "fcb75b74b824870da162f4d950b01aa8e53ef93f69a5dfefbe75a64778a14d73",
    "private_audit_sha256": "7f858e451c600607f69b19ff4d33b9c6d586639e83a8d9fb1dbb2ffffb3d52f0",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/qwen-qwen3-asr-1-7b/",
    "description": "Qwen3-ASR-1.7B nutq va qo‘shiq aytishni matnga aylantirib, tilni aniqlaydi. Qwen 30 til, 22 xitoy lahjasi va oflayn yoki oqimli tanishni hujjatlashtiradi; so‘z darajasidagi vaqt belgilash alohida Qwen3-ForcedAligner jarayonidan foydalanadi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/qwen-qwen3-asr-1-7b/index.md",
    "title": "Qwen: Qwen3 ASR 1.7B — Ailoot",
    "url": "https://ailoot.ai/models/uz/qwen-qwen3-asr-1-7b/"
  },
  "rawModel": {
    "about": "Qwen3-ASR-1.7B — Qwen3-ASR oilasidagi Qwen’ning kattaroq nutq tanish modeli. U audio qabul qilib, tanilgan matnni til yorlig‘i bilan birga qaytaradi. Oila Qwen3-Omni’ning audioni tushunish asosiga tayanadi va oflayn hamda oqimli tanish uchun bitta ASR modelidan foydalanadi. 1.7B versiyasi tanish sifatiga, alohida nomlangan 0.6B versiyasi esa samaradorlikka urg‘u beradi. Hujjatlashtirilgan til qamrovi va tanish jarayonlari umumiy bo‘lsa-da, bu versiyalar alohida tanlov bo‘lib qoladi.\n\n### Tilni aniqlash va audio qamrovi\n\nIshlab chiqaruvchi 30 til va 22 xitoy lahjasini, shuningdek, bir nechta hududning ingliz aksentlarini sanaydi. Til ro‘yxatiga xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vetnam, yapon, turk, hindiy, malay, niderland, shved, daniya, fin, polyak, chex, filipin, fors, yunon, venger, makedon va rumin tillari kiradi. Qo‘llab-quvvatlanadigan audio turlari nutq, kuylash ovozi va fon musiqasi bor qo‘shiqlarni o‘z ichiga oladi. Bu qobiliyatlar qiyin parchalarni tekshirish uchun asl audio saqlangan holda suhbatlar, ma’ruzalar, ovoz yozuvlari va qo‘shiq matni ko‘rib chiqishida transkriptni foydali qiladi.\n\n### Audioni tayyorlash va transkript olish\n\nIshlab chiqaruvchi vositalari audiofayl havolasi, kodlangan audio yoki namunalash chastotasi bilan berilgan to‘lqin shaklini qabul qiladi, oflayn jarayoni esa yozuvlar to‘plamini qayta ishlashi mumkin. U tilni avtomatik aniqlaydi yoki belgilangan qo‘llab-quvvatlanuvchi tildan foydalanadi. Noma’lum yozuv uchun avtomatik aniqlashni tanlang; til ma’lum va vazifaga tegishli bo‘lsa, haqiqatan gapirilgan tilni bering. Misol natijasi aniqlangan yoki tanlangan til va tanilgan matnni chiqaradi. Til sozlamasi mazmunni boshqa tilda qayta yozish so‘rovini belgilamay, yozuvni tanishga yo‘l ko‘rsatadi.\n\nSuhbat uchun yozuvni sanasi, mavzusi va manba identifikatori bilan bog‘liq saqlab, qaytgan matnni qidiriladigan transkript sifatida ishlating. Ma’ruzada ko‘rib chiqish paytida noaniq so‘zlarni ishonarli izohga jim almashtirmay, texnik atamalar va sonli ifodalarni saqlang. Qo‘shiqda vokalni tinglab tanilgan matnni tekshiring, ayniqsa musiqa bo‘g‘inni yashiradigan joylarda. Matni audioga nisbatan tekshirilgach, transkript alohida umumlashtirish, tarjima yoki tahrir bosqichiga kirish bo‘lishi mumkin.\n\n### Oqimli tanish va uning doirasi\n\nAyni ASR oilasi audio kelayotganda tanishni qo‘llab-quvvatlaydi. Ishlab chiqaruvchining oqimli misoli saqlangan tanish holatiga ketma-ket audio qismlarini beradi, oraliq matnni ko‘rsatadi, so‘ng yakuniy til va transkriptni olish uchun oqimni tugatadi. Jonli subtitr yoki davom etayotgan transkriptni tayyorlashda joriy bosqichma-bosqich matnni tugallangan natijadan ajrating. Hujjatlashtirilgan oqimli amalga oshirish oqimni paketli inferens bilan birlashtirmaydi va vaqt belgilarini qaytarmaydi; vaqtli transkript boshqa jarayondan foydalanadi. Bular ilovaning transporti yoki jonli subtitr interfeysi haqidagi va’da emas, ishlab chiqaruvchi amalga oshirish tafsilotlaridir.\n\n### Alohida tekislovchi bilan so‘z yoki belgi vaqtini aniqlash\n\nQwen3-ForcedAligner-0.6B audioyozuvni berilgan matn bilan tekislab, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini taxmin qiladi. U Qwen3-ASR’ning ikkala versiyasidan ham alohida modeldir. ASR vositalari oflayn transkripsiya jarayonida vaqt belgilari so‘ralganda shu tekislovchidan foydalanishi yoki tekislash mavjud matn–audio juftida bajarilishi mumkin. Tekislovchining hujjatlashtirilgan qamrovi 11 til: xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan. Ko‘rsatilgan nutq oralig‘i besh daqiqagacha; bu ASR transkripsiyasi uchun besh daqiqali chegara emas, tekislovchining doirasidir.\n\nSubtitr tayyorlashda avval transkriptni oling va ko‘rib chiqing, keyin tegishli tekislash jarayoni mos keladigan joyda uni manba yozuviga tekislang. Qaytgan boshlanish va tugash vaqtlaridan subtitr segmentlarini tayyorlashda foydalaning va tinglab chegaralarini tekshiring. Tekislash berilgan so‘zlarni audio bilan bog‘laydi; uni noto‘g‘ri transkript tuzatilganining isboti deb bilmaslik kerak. Foydali artefakt — o‘zi tasvirlagan yozuvga bog‘liqligini saqlaydigan vaqt ma’lumoti bor tekshirilgan transkript.\n\n### Uzun yozuvlar va amaliy cheklovlar\n\nOila uzun audioni transkripsiya qilishni qo‘llab-quvvatlaydi, rasmiy misollar esa uzunroq kirish uchun ko‘proq yaratiladigan matnga ruxsat berishni ko‘rsatadi. Namunaviy token sozlamalari umumiy model konteksti yoki audio davomiyligi chegarasi emas, konfiguratsiya tanlovidir. Chiqish hajmini yozuvga qarab rejalang va oxirgi qismi borligini tekshiring. Nomlar, miqdorlar, til almashishi, yopilgan so‘zlar va ustma-ust nutqni asl tovushga nisbatan ko‘rib chiqing. Til qamrovi va murakkab audioga chidamlilik har aksent, yozuv yoki musiqa aranjirovkasida xatosiz transkriptni kafolatlamaydi. To‘liq natija tanilgan matn, uning tili va audio bilan bog‘liqligini saqlaydi, shunda uni qidirish, tahrirlash yoki keyingi kontent jarayonida ishlatish mumkin.",
    "alias_of": null,
    "aliases": [],
    "author": "Alibaba",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "audio"
      ],
      "manufacturer_output": [
        "transcription"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.000015",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.000015",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "transcriptions"
    ],
    "id": "qwen/qwen3-asr-1.7b",
    "input": [
      "audio"
    ],
    "kind": "audio",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "qwen/qwen3-asr-1.7b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "qwen/qwen3-asr-1.7b"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "qwen/qwen3-asr-1.7b"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi."
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'qwen/qwen3-asr-1.7b', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Transkripsiya",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.000015",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.000015",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "qwen/qwen3-asr-1.7b",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.000015",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.000015",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          },
          {
            "amount": "0.000015",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.000015",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "qwen/qwen3-asr-1.7b",
        "request_model_id": "qwen/qwen3-asr-1.7b",
        "route_label": "Ultra"
      }
    ],
    "name": "Qwen: Qwen3 ASR 1.7B",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 1.5e-05,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 1.5e-05,
      "varies": false
    },
    "short": "Qwen3-ASR-1.7B nutq va qo‘shiq aytishni matnga aylantirib, tilni aniqlaydi. Qwen 30 til, 22 xitoy lahjasi va oflayn yoki oqimli tanishni hujjatlashtiradi; so‘z darajasidagi vaqt belgilash alohida Qwen3-ForcedAligner jarayonidan foydalanadi."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Qwen3-ASR-1.7B nutq va qo‘shiq aytishni matnga aylantirib, tilni aniqlaydi. Qwen 30 til, 22 xitoy lahjasi va oflayn yoki oqimli tanishni hujjatlashtiradi; so‘z darajasidagi vaqt belgilash alohida Qwen3-ForcedAligner jarayonidan foydalanadi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "771721b23dda3334bb51d950c51a1f48f9de56183cc17a5b0b2d6c957b998e84",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "3f845cd8042f77c4f779bde4b0c5c0f10f3dedf28db7cfeda420e9b92f0dc6b2"
}