{ "aboutHtml": "

Qwen3-ASR-0.6B — Qwen’ning Qwen3-ASR nutqni tanish oilasidagi ixcham nashr. U audioni qabul qilib, til belgisi bilan transkripsiya chiqaradi. Ishlab chiqaruvchi 0.6B’ni tanish sifati va samaradorlik muvozanatiga yo‘naltiradi, 1.7B esa alohida nomlangan kattaroq nashrdir. Ikkalasi Qwen3-Omni’ning audioni tushunishiga tayanadi va hujjatlashtirilgan tanish qamrovi hamda yagona oflayn/oqimli yondashuvni baham ko‘radi. Ixcham nashr ovozli qaydlar, subtitr tayyorlash yoki qidirish mumkin bo‘lgan yozuvlar jarayonida transkripsiya bosqichini ta’minlashi mumkin.

Tillar, lahjalar va qo‘llanadigan yozuvlar

Qwen 30 til va 22 xitoy lahjasi uchun nutqni tanish va tilni aniqlashni, shuningdek turli hududlardagi ingliz aksentlarini qo‘llab-quvvatlashni hujjatlashtiradi. Til jadvalida xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vyetnam, yapon, turk, hind, malay, niderland, shved, dan, fin, polyak, chex, filippin, fors, yunon, venger, makedon va rumin tillari keltirilgan. Taniladigan audio turlariga nutq, kuylangan ovoz va fon musiqasi bor qo‘shiqlar kiradi. Kichikroq nashr shu oilaviy qamrovni saqlaydi; uning hajmi qo‘llab-quvvatlanadigan tillar ro‘yxati boshqacha degani emas.

Oflayn tanish va kirishni tayyorlash

Rasmiy vositalar to‘plami audioni fayl havolasi, kodlangan audio yoki diskretlash chastotasi ko‘rsatilgan to‘lqin shakli orqali qabul qilishi mumkin. U bir nechta yozuvni oflayn qayta ishlash, tilni avtomatik aniqlash va qo‘llab-quvvatlanadigan tilni aniq belgilashni qo‘llaydi. Hujjatlashtirilgan natijada til va tanilgan matn bo‘ladi. Gapirilgan tilni bilsangiz, uni tanlang; to‘plamda noma’lum tillar bo‘lsa, aniqlashni modelga qoldiring. Transkripsiyani to‘g‘ri manbasigacha kuzatish uchun har bir yozuv identifikatorini natijasi yonida saqlang.

Ovozli qaydlar to‘plamida har bir qayd uchun alohida natijani saqlang va matnni vazifalar yoki qisqacha bayonga aylantirishdan oldin nomlar, raqamlar va noaniq iboralarni yozuv bilan tekshiring. Og‘zaki darsda transkripsiyadan parchalarni topish va har bir ko‘rsatmaning matnini tekshirish uchun foydalaning. Qo‘shiq so‘zlarini tekshirganda, biror so‘zni faqat qo‘shiqqa mazmunan mos tushgani uchun qabul qilmasdan, vokalni tinglang. Bular matnli natijani tayyorlash va tekshirish bosqichlari; transkripsiyani qisqacha bayon qilish, tarjima qilish yoki sharhlash keyin alohida amallar sifatida bajarilishi mumkin.

Oqimli matn va yozuvni yakunlash

Qwen3-ASR oflayn va oqimli tanish uchun bir modeldan foydalanadi. Ishlab chiqaruvchining oqimli misolida kelayotgan audio bo‘laklari saqlanadigan tanish holatini yangilaydi, yakunlash bosqichi esa tugallangan matn va tilni beradi. Bu davom etayotgan transkripsiya uchun foydali bo‘lgan bosqichma-bosqich ko‘rsatishni ta’minlaydi. Oraliq ko‘rinishni tanishning joriy holati deb qabul qiling va yozuv tugagach, yakuniy natijani, tuzatish uchun audio manbasi bilan birga saqlang.

Hujjatlashtirilgan oqimli amalga oshirish shu oqimli jarayonda paketli inferensiya yoki vaqt belgilarini qaytarishni qo‘llamaydi. Shuning uchun oqimli matn, oflayn transkripsiyalar to‘plami va vaqt belgilangan subtitr tayyorlash ishlab chiqaruvchining alohida jarayonlaridir. Uning misolidagi bo‘lak o‘lchamlari va token sozlamalari muayyan amalga oshirishni ko‘rsatadi; ular kechikish, parallellik yoki audio uzunligi haqidagi umumiy va’dalar emas. Jarayonni kerakli natija yozuv davomida keladigan matnmi, to‘plam uchun tugallangan matnmi yoki vaqt shkalasiga moslangan matnmi ekaniga qarab tanlang.

Vaqt belgilangan matn Qwen3-ForcedAligner’dan foydalanadi

Qwen3-ForcedAligner-0.6B — ushbu ASR nashri bilan 0.6B hajm belgisini baham ko‘rsa ham, alohida moslashtirish modeli. U matn–audio juftligini olib, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini bashorat qiladi. Vaqt belgilari so‘ralganda ishlab chiqaruvchining oflayn ASR vositalari uni chaqirishi mumkin. Uning hujjatlashtirilgan tillari xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan; e’lon qilingan moslashtirish oralig‘i esa besh daqiqagacha nutqdir. Bu torroq tillar doirasi va besh daqiqalik oraliq ASR modelining umumiy transkripsiya qamroviga emas, majburiy moslashtirishga tegishli.

Subtitrlar uchun yozuv tilida tekshirilgan transkripsiya tayyorlang, mos jarayon qo‘llanadigan joyda uni vaqtga moslashtiring va manbani eshitib, segment chegaralarini tekshiring. Foydalanishga yaroqli subtitr natijasi matn va vaqtlarni birga saqlaydi. Transkripsiyadagi so‘z xato bo‘lsa, vaqt oralig‘i uning to‘g‘riligini tasdiqlaydi deb o‘ylamasdan, matnni audio bo‘yicha tuzating. Bu ajratish muammo tanishda, taqdim etilgan matnda yoki subtitr chegarasining joylashuvida ekanini aniq ko‘rsatadi.

Uzun audio uchun chiqish va tanishni tekshirish

Qwen3-ASR oilasi uzun yozuvlarni qo‘llaydi. Inferensiya misollari uzunroq audio uchun ko‘proq chiqariladigan token ajratishni tavsiya qiladi; shuning uchun transkripsiya yozuv oxirigacha yetganini va chiqish uchun ajratilgan hajm uni kesib qo‘ymaganini tekshiring. E’lon qilingan misollar umumiy raqamli kontekst oynasi yoki ASR yozuvining eng katta davomiyligini belgilamaydi. Uzun yozuvni tekshirish uchun tashkil etayotganda foydali bo‘limlar va ularning manbadagi joylashuvlarini bog‘lab saqlang. Eshitilishi qiyin so‘zlar, til almashishi, ustma-ust nutq, noodatiy nomlar va kuylangan bo‘g‘inlarni asl ovoz bilan tekshiring. Amaliy natija — til belgisi bor tanilgan matn: qidiruv yoki keyingi kontent bosqichi uchun tayyor, zarur bo‘lsa, vaqtlar alohida moslashtirish jarayoni orqali qo‘shiladi.

", "aboutText": "Qwen3-ASR-0.6B — Qwen’ning Qwen3-ASR nutqni tanish oilasidagi ixcham nashr. U audioni qabul qilib, til belgisi bilan transkripsiya chiqaradi. Ishlab chiqaruvchi 0.6B’ni tanish sifati va samaradorlik muvozanatiga yo‘naltiradi, 1.7B esa alohida nomlangan kattaroq nashrdir. Ikkalasi Qwen3-Omni’ning audioni tushunishiga tayanadi va hujjatlashtirilgan tanish qamrovi hamda yagona oflayn/oqimli yondashuvni baham ko‘radi. Ixcham nashr ovozli qaydlar, subtitr tayyorlash yoki qidirish mumkin bo‘lgan yozuvlar jarayonida transkripsiya bosqichini ta’minlashi mumkin.\n\n### Tillar, lahjalar va qo‘llanadigan yozuvlar\n\nQwen 30 til va 22 xitoy lahjasi uchun nutqni tanish va tilni aniqlashni, shuningdek turli hududlardagi ingliz aksentlarini qo‘llab-quvvatlashni hujjatlashtiradi. Til jadvalida xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vyetnam, yapon, turk, hind, malay, niderland, shved, dan, fin, polyak, chex, filippin, fors, yunon, venger, makedon va rumin tillari keltirilgan. Taniladigan audio turlariga nutq, kuylangan ovoz va fon musiqasi bor qo‘shiqlar kiradi. Kichikroq nashr shu oilaviy qamrovni saqlaydi; uning hajmi qo‘llab-quvvatlanadigan tillar ro‘yxati boshqacha degani emas.\n\n### Oflayn tanish va kirishni tayyorlash\n\nRasmiy vositalar to‘plami audioni fayl havolasi, kodlangan audio yoki diskretlash chastotasi ko‘rsatilgan to‘lqin shakli orqali qabul qilishi mumkin. U bir nechta yozuvni oflayn qayta ishlash, tilni avtomatik aniqlash va qo‘llab-quvvatlanadigan tilni aniq belgilashni qo‘llaydi. Hujjatlashtirilgan natijada til va tanilgan matn bo‘ladi. Gapirilgan tilni bilsangiz, uni tanlang; to‘plamda noma’lum tillar bo‘lsa, aniqlashni modelga qoldiring. Transkripsiyani to‘g‘ri manbasigacha kuzatish uchun har bir yozuv identifikatorini natijasi yonida saqlang.\n\nOvozli qaydlar to‘plamida har bir qayd uchun alohida natijani saqlang va matnni vazifalar yoki qisqacha bayonga aylantirishdan oldin nomlar, raqamlar va noaniq iboralarni yozuv bilan tekshiring. Og‘zaki darsda transkripsiyadan parchalarni topish va har bir ko‘rsatmaning matnini tekshirish uchun foydalaning. Qo‘shiq so‘zlarini tekshirganda, biror so‘zni faqat qo‘shiqqa mazmunan mos tushgani uchun qabul qilmasdan, vokalni tinglang. Bular matnli natijani tayyorlash va tekshirish bosqichlari; transkripsiyani qisqacha bayon qilish, tarjima qilish yoki sharhlash keyin alohida amallar sifatida bajarilishi mumkin.\n\n### Oqimli matn va yozuvni yakunlash\n\nQwen3-ASR oflayn va oqimli tanish uchun bir modeldan foydalanadi. Ishlab chiqaruvchining oqimli misolida kelayotgan audio bo‘laklari saqlanadigan tanish holatini yangilaydi, yakunlash bosqichi esa tugallangan matn va tilni beradi. Bu davom etayotgan transkripsiya uchun foydali bo‘lgan bosqichma-bosqich ko‘rsatishni ta’minlaydi. Oraliq ko‘rinishni tanishning joriy holati deb qabul qiling va yozuv tugagach, yakuniy natijani, tuzatish uchun audio manbasi bilan birga saqlang.\n\nHujjatlashtirilgan oqimli amalga oshirish shu oqimli jarayonda paketli inferensiya yoki vaqt belgilarini qaytarishni qo‘llamaydi. Shuning uchun oqimli matn, oflayn transkripsiyalar to‘plami va vaqt belgilangan subtitr tayyorlash ishlab chiqaruvchining alohida jarayonlaridir. Uning misolidagi bo‘lak o‘lchamlari va token sozlamalari muayyan amalga oshirishni ko‘rsatadi; ular kechikish, parallellik yoki audio uzunligi haqidagi umumiy va’dalar emas. Jarayonni kerakli natija yozuv davomida keladigan matnmi, to‘plam uchun tugallangan matnmi yoki vaqt shkalasiga moslangan matnmi ekaniga qarab tanlang.\n\n### Vaqt belgilangan matn Qwen3-ForcedAligner’dan foydalanadi\n\nQwen3-ForcedAligner-0.6B — ushbu ASR nashri bilan 0.6B hajm belgisini baham ko‘rsa ham, alohida moslashtirish modeli. U matn–audio juftligini olib, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini bashorat qiladi. Vaqt belgilari so‘ralganda ishlab chiqaruvchining oflayn ASR vositalari uni chaqirishi mumkin. Uning hujjatlashtirilgan tillari xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan; e’lon qilingan moslashtirish oralig‘i esa besh daqiqagacha nutqdir. Bu torroq tillar doirasi va besh daqiqalik oraliq ASR modelining umumiy transkripsiya qamroviga emas, majburiy moslashtirishga tegishli.\n\nSubtitrlar uchun yozuv tilida tekshirilgan transkripsiya tayyorlang, mos jarayon qo‘llanadigan joyda uni vaqtga moslashtiring va manbani eshitib, segment chegaralarini tekshiring. Foydalanishga yaroqli subtitr natijasi matn va vaqtlarni birga saqlaydi. Transkripsiyadagi so‘z xato bo‘lsa, vaqt oralig‘i uning to‘g‘riligini tasdiqlaydi deb o‘ylamasdan, matnni audio bo‘yicha tuzating. Bu ajratish muammo tanishda, taqdim etilgan matnda yoki subtitr chegarasining joylashuvida ekanini aniq ko‘rsatadi.\n\n### Uzun audio uchun chiqish va tanishni tekshirish\n\nQwen3-ASR oilasi uzun yozuvlarni qo‘llaydi. Inferensiya misollari uzunroq audio uchun ko‘proq chiqariladigan token ajratishni tavsiya qiladi; shuning uchun transkripsiya yozuv oxirigacha yetganini va chiqish uchun ajratilgan hajm uni kesib qo‘ymaganini tekshiring. E’lon qilingan misollar umumiy raqamli kontekst oynasi yoki ASR yozuvining eng katta davomiyligini belgilamaydi. Uzun yozuvni tekshirish uchun tashkil etayotganda foydali bo‘limlar va ularning manbadagi joylashuvlarini bog‘lab saqlang. Eshitilishi qiyin so‘zlar, til almashishi, ustma-ust nutq, noodatiy nomlar va kuylangan bo‘g‘inlarni asl ovoz bilan tekshiring. Amaliy natija — til belgisi bor tanilgan matn: qidiruv yoki keyingi kontent bosqichi uchun tayyor, zarur bo‘lsa, vaqtlar alohida moslashtirish jarayoni orqali qo‘shiladi.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "617fed981cd0dd1aa1cd6b408cb309e696ce1e314be6ab6f4a4ab79814a9e3fd", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
Al

Qwen: Qwen3 ASR 0.6B

Alibaba /qwen/qwen3-asr-0.6b

Boshlash

Qwen3-ASR-0.6B — gapirilgan yoki kuylangan audioni tilini aniqlagan holda matnga aylantiruvchi ixcham Qwen nutqni tanish modeli. U oilaning 30 til va 22 lahjani qamrab olishini, oflayn va oqimli jarayonlarni hamda vaqt belgilariga ega matn uchun alohida majburiy moslashtirishni saqlaydi.

Qabul qilinadigan kirish ma’lumotlari
Audio
Natijalar
Matn
Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Qwen3-ASR-0.6B — Qwen’ning Qwen3-ASR nutqni tanish oilasidagi ixcham nashr. U audioni qabul qilib, til belgisi bilan transkripsiya chiqaradi. Ishlab chiqaruvchi 0.6B’ni tanish sifati va samaradorlik muvozanatiga yo‘naltiradi, 1.7B esa alohida nomlangan kattaroq nashrdir. Ikkalasi Qwen3-Omni’ning audioni tushunishiga tayanadi va hujjatlashtirilgan tanish qamrovi hamda yagona oflayn/oqimli yondashuvni baham ko‘radi. Ixcham nashr ovozli qaydlar, subtitr tayyorlash yoki qidirish mumkin bo‘lgan yozuvlar jarayonida transkripsiya bosqichini ta’minlashi mumkin.

Tillar, lahjalar va qo‘llanadigan yozuvlar

Qwen 30 til va 22 xitoy lahjasi uchun nutqni tanish va tilni aniqlashni, shuningdek turli hududlardagi ingliz aksentlarini qo‘llab-quvvatlashni hujjatlashtiradi. Til jadvalida xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vyetnam, yapon, turk, hind, malay, niderland, shved, dan, fin, polyak, chex, filippin, fors, yunon, venger, makedon va rumin tillari keltirilgan. Taniladigan audio turlariga nutq, kuylangan ovoz va fon musiqasi bor qo‘shiqlar kiradi. Kichikroq nashr shu oilaviy qamrovni saqlaydi; uning hajmi qo‘llab-quvvatlanadigan tillar ro‘yxati boshqacha degani emas.

Oflayn tanish va kirishni tayyorlash

Rasmiy vositalar to‘plami audioni fayl havolasi, kodlangan audio yoki diskretlash chastotasi ko‘rsatilgan to‘lqin shakli orqali qabul qilishi mumkin. U bir nechta yozuvni oflayn qayta ishlash, tilni avtomatik aniqlash va qo‘llab-quvvatlanadigan tilni aniq belgilashni qo‘llaydi. Hujjatlashtirilgan natijada til va tanilgan matn bo‘ladi. Gapirilgan tilni bilsangiz, uni tanlang; to‘plamda noma’lum tillar bo‘lsa, aniqlashni modelga qoldiring. Transkripsiyani to‘g‘ri manbasigacha kuzatish uchun har bir yozuv identifikatorini natijasi yonida saqlang.

Ovozli qaydlar to‘plamida har bir qayd uchun alohida natijani saqlang va matnni vazifalar yoki qisqacha bayonga aylantirishdan oldin nomlar, raqamlar va noaniq iboralarni yozuv bilan tekshiring. Og‘zaki darsda transkripsiyadan parchalarni topish va har bir ko‘rsatmaning matnini tekshirish uchun foydalaning. Qo‘shiq so‘zlarini tekshirganda, biror so‘zni faqat qo‘shiqqa mazmunan mos tushgani uchun qabul qilmasdan, vokalni tinglang. Bular matnli natijani tayyorlash va tekshirish bosqichlari; transkripsiyani qisqacha bayon qilish, tarjima qilish yoki sharhlash keyin alohida amallar sifatida bajarilishi mumkin.

Oqimli matn va yozuvni yakunlash

Qwen3-ASR oflayn va oqimli tanish uchun bir modeldan foydalanadi. Ishlab chiqaruvchining oqimli misolida kelayotgan audio bo‘laklari saqlanadigan tanish holatini yangilaydi, yakunlash bosqichi esa tugallangan matn va tilni beradi. Bu davom etayotgan transkripsiya uchun foydali bo‘lgan bosqichma-bosqich ko‘rsatishni ta’minlaydi. Oraliq ko‘rinishni tanishning joriy holati deb qabul qiling va yozuv tugagach, yakuniy natijani, tuzatish uchun audio manbasi bilan birga saqlang.

Hujjatlashtirilgan oqimli amalga oshirish shu oqimli jarayonda paketli inferensiya yoki vaqt belgilarini qaytarishni qo‘llamaydi. Shuning uchun oqimli matn, oflayn transkripsiyalar to‘plami va vaqt belgilangan subtitr tayyorlash ishlab chiqaruvchining alohida jarayonlaridir. Uning misolidagi bo‘lak o‘lchamlari va token sozlamalari muayyan amalga oshirishni ko‘rsatadi; ular kechikish, parallellik yoki audio uzunligi haqidagi umumiy va’dalar emas. Jarayonni kerakli natija yozuv davomida keladigan matnmi, to‘plam uchun tugallangan matnmi yoki vaqt shkalasiga moslangan matnmi ekaniga qarab tanlang.

Vaqt belgilangan matn Qwen3-ForcedAligner’dan foydalanadi

Qwen3-ForcedAligner-0.6B — ushbu ASR nashri bilan 0.6B hajm belgisini baham ko‘rsa ham, alohida moslashtirish modeli. U matn–audio juftligini olib, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini bashorat qiladi. Vaqt belgilari so‘ralganda ishlab chiqaruvchining oflayn ASR vositalari uni chaqirishi mumkin. Uning hujjatlashtirilgan tillari xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan; e’lon qilingan moslashtirish oralig‘i esa besh daqiqagacha nutqdir. Bu torroq tillar doirasi va besh daqiqalik oraliq ASR modelining umumiy transkripsiya qamroviga emas, majburiy moslashtirishga tegishli.

Subtitrlar uchun yozuv tilida tekshirilgan transkripsiya tayyorlang, mos jarayon qo‘llanadigan joyda uni vaqtga moslashtiring va manbani eshitib, segment chegaralarini tekshiring. Foydalanishga yaroqli subtitr natijasi matn va vaqtlarni birga saqlaydi. Transkripsiyadagi so‘z xato bo‘lsa, vaqt oralig‘i uning to‘g‘riligini tasdiqlaydi deb o‘ylamasdan, matnni audio bo‘yicha tuzating. Bu ajratish muammo tanishda, taqdim etilgan matnda yoki subtitr chegarasining joylashuvida ekanini aniq ko‘rsatadi.

Uzun audio uchun chiqish va tanishni tekshirish

Qwen3-ASR oilasi uzun yozuvlarni qo‘llaydi. Inferensiya misollari uzunroq audio uchun ko‘proq chiqariladigan token ajratishni tavsiya qiladi; shuning uchun transkripsiya yozuv oxirigacha yetganini va chiqish uchun ajratilgan hajm uni kesib qo‘ymaganini tekshiring. E’lon qilingan misollar umumiy raqamli kontekst oynasi yoki ASR yozuvining eng katta davomiyligini belgilamaydi. Uzun yozuvni tekshirish uchun tashkil etayotganda foydali bo‘limlar va ularning manbadagi joylashuvlarini bog‘lab saqlang. Eshitilishi qiyin so‘zlar, til almashishi, ustma-ust nutq, noodatiy nomlar va kuylangan bo‘g‘inlarni asl ovoz bilan tekshiring. Amaliy natija — til belgisi bor tanilgan matn: qidiruv yoki keyingi kontent bosqichi uchun tayyor, zarur bo‘lsa, vaqtlar alohida moslashtirish jarayoni orqali qo‘shiladi.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Transkripsiya POST /v1/audio/transcriptions
Kirish
audio
Chiqish
text
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
qwen/qwen3-asr-0.6b
Standart—
Maydoninput_audioTurobjectTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonlanguageTurstringTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydontemperatureTurnumberTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 0
Eng ko‘p: 1
Standart—
Maydonresponse_formatTurstringTalabIxtiyoriyQiymatlar va cheklovlar
json, verbose_json
Standartjson
Maydontimestamp_granularitiesTurarrayTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonproviderTurobjectTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, input_audio
Parametrmaterial_typesParametr talablariaudio
Parametrmaterial_conditionsParametr talablariHaqiqiy 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.

Hayot sikli: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Tariflar

Yakuniy to‘lov qanday hisoblanadi

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.

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Maksimal fikrlash darajasi
Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

Taqqoslash uchun taxminiy tariflar

Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

SozlamaTariflar jadvaliPrognoz miqdoriHisob birligiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifPrognoz miqdori—Hisob birligi—To‘lov
Kirish · Kirish tokenlari · Faqat taqqoslash uchun taxmin — / 1K token
Chiqish · Chiqish tokenlari · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshdan o‘qish · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshga yozish · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshga yozish, 1 soat · Faqat taqqoslash uchun taxmin — / 1K token
SozlamaKirish audiosi soniyasiTariflar jadvali—Prognoz miqdori—Hisob birligikirish audiosining soniyasi uchunTo‘lov
Kirish · Kirish audiosi soniyasi · Faqat taqqoslash uchun taxmin $0.00000666 kirish audiosining soniyasi uchun
SozlamaYaratishning taxminiy qiymatiTariflar jadvali—Prognoz miqdoribir generatsiya uchun taxminHisob birligi—To‘lov
Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin $0.00000666 yaratishdan oldingi taxmin

Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.

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. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

Ailoot Ultra · Transkripsiya

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-0.6b', '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

Natijalarni olish va saqlash

Ailoot Ultra · Transkripsiya

Boshqa kontentni o‘qish
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
Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

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.

Asl javobni tekshirish kerak bo‘lsa

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.

Javob maydonlari
MaydonTur
MaydontextTur
MaydonusageTur
Maydonsegments[]Tur
Maydonwords[]Tur
Maydonspeaker fieldsTur
MaydontimestampsTur

Taxalluslar

Model taxalluslari

Ailoot Ultra qwen/qwen3-asr-0.6b

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

qwen/qwen3-asr-0.6b

", "method_identity": { "effective_request_model_id": "qwen/qwen3-asr-0.6b", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "qwen/qwen3-asr-0.6b", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|qwen%2Fqwen3-asr-0.6b", "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-0.6b" ], "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-0.6b" ], "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-0.6b" }, "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'qwen/qwen3-asr-0.6b', 'input_audio': {'data': '${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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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-0.6b", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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-0.6b", "nativeProvenance": { "input_facts_canonical_sha256": "c44a5d5b167e53b519ef764cd4e8aa95bef56112141e5613116cf8aba2d1cc28", "input_html_sha256": "c0f335a1078ffc723b9c8cc7f6eafd1e1c304de955c1f259ac87169473cacfbf", "private_audit_sha256": "c7a2f1392a67e3f094229c4fa466797ad0401fe8d81f4911a2a8c3cb5fedf0fc", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/qwen-qwen3-asr-0-6b/", "description": "Qwen3-ASR-0.6B — gapirilgan yoki kuylangan audioni tilini aniqlagan holda matnga aylantiruvchi ixcham Qwen nutqni tanish modeli. U oilaning 30 til va 22 lahjani qamrab olishini, oflayn va oqimli jarayonlarni hamda vaqt belgilariga ega matn uchun alohida majburiy moslashtirishni saqlaydi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/qwen-qwen3-asr-0-6b/index.md", "title": "Qwen: Qwen3 ASR 0.6B — Ailoot", "url": "https://ailoot.ai/models/uz/qwen-qwen3-asr-0-6b/" }, "rawModel": { "about": "Qwen3-ASR-0.6B — Qwen’ning Qwen3-ASR nutqni tanish oilasidagi ixcham nashr. U audioni qabul qilib, til belgisi bilan transkripsiya chiqaradi. Ishlab chiqaruvchi 0.6B’ni tanish sifati va samaradorlik muvozanatiga yo‘naltiradi, 1.7B esa alohida nomlangan kattaroq nashrdir. Ikkalasi Qwen3-Omni’ning audioni tushunishiga tayanadi va hujjatlashtirilgan tanish qamrovi hamda yagona oflayn/oqimli yondashuvni baham ko‘radi. Ixcham nashr ovozli qaydlar, subtitr tayyorlash yoki qidirish mumkin bo‘lgan yozuvlar jarayonida transkripsiya bosqichini ta’minlashi mumkin.\n\n### Tillar, lahjalar va qo‘llanadigan yozuvlar\n\nQwen 30 til va 22 xitoy lahjasi uchun nutqni tanish va tilni aniqlashni, shuningdek turli hududlardagi ingliz aksentlarini qo‘llab-quvvatlashni hujjatlashtiradi. Til jadvalida xitoy, ingliz, kanton, arab, nemis, fransuz, ispan, portugal, indonez, italyan, koreys, rus, tay, vyetnam, yapon, turk, hind, malay, niderland, shved, dan, fin, polyak, chex, filippin, fors, yunon, venger, makedon va rumin tillari keltirilgan. Taniladigan audio turlariga nutq, kuylangan ovoz va fon musiqasi bor qo‘shiqlar kiradi. Kichikroq nashr shu oilaviy qamrovni saqlaydi; uning hajmi qo‘llab-quvvatlanadigan tillar ro‘yxati boshqacha degani emas.\n\n### Oflayn tanish va kirishni tayyorlash\n\nRasmiy vositalar to‘plami audioni fayl havolasi, kodlangan audio yoki diskretlash chastotasi ko‘rsatilgan to‘lqin shakli orqali qabul qilishi mumkin. U bir nechta yozuvni oflayn qayta ishlash, tilni avtomatik aniqlash va qo‘llab-quvvatlanadigan tilni aniq belgilashni qo‘llaydi. Hujjatlashtirilgan natijada til va tanilgan matn bo‘ladi. Gapirilgan tilni bilsangiz, uni tanlang; to‘plamda noma’lum tillar bo‘lsa, aniqlashni modelga qoldiring. Transkripsiyani to‘g‘ri manbasigacha kuzatish uchun har bir yozuv identifikatorini natijasi yonida saqlang.\n\nOvozli qaydlar to‘plamida har bir qayd uchun alohida natijani saqlang va matnni vazifalar yoki qisqacha bayonga aylantirishdan oldin nomlar, raqamlar va noaniq iboralarni yozuv bilan tekshiring. Og‘zaki darsda transkripsiyadan parchalarni topish va har bir ko‘rsatmaning matnini tekshirish uchun foydalaning. Qo‘shiq so‘zlarini tekshirganda, biror so‘zni faqat qo‘shiqqa mazmunan mos tushgani uchun qabul qilmasdan, vokalni tinglang. Bular matnli natijani tayyorlash va tekshirish bosqichlari; transkripsiyani qisqacha bayon qilish, tarjima qilish yoki sharhlash keyin alohida amallar sifatida bajarilishi mumkin.\n\n### Oqimli matn va yozuvni yakunlash\n\nQwen3-ASR oflayn va oqimli tanish uchun bir modeldan foydalanadi. Ishlab chiqaruvchining oqimli misolida kelayotgan audio bo‘laklari saqlanadigan tanish holatini yangilaydi, yakunlash bosqichi esa tugallangan matn va tilni beradi. Bu davom etayotgan transkripsiya uchun foydali bo‘lgan bosqichma-bosqich ko‘rsatishni ta’minlaydi. Oraliq ko‘rinishni tanishning joriy holati deb qabul qiling va yozuv tugagach, yakuniy natijani, tuzatish uchun audio manbasi bilan birga saqlang.\n\nHujjatlashtirilgan oqimli amalga oshirish shu oqimli jarayonda paketli inferensiya yoki vaqt belgilarini qaytarishni qo‘llamaydi. Shuning uchun oqimli matn, oflayn transkripsiyalar to‘plami va vaqt belgilangan subtitr tayyorlash ishlab chiqaruvchining alohida jarayonlaridir. Uning misolidagi bo‘lak o‘lchamlari va token sozlamalari muayyan amalga oshirishni ko‘rsatadi; ular kechikish, parallellik yoki audio uzunligi haqidagi umumiy va’dalar emas. Jarayonni kerakli natija yozuv davomida keladigan matnmi, to‘plam uchun tugallangan matnmi yoki vaqt shkalasiga moslangan matnmi ekaniga qarab tanlang.\n\n### Vaqt belgilangan matn Qwen3-ForcedAligner’dan foydalanadi\n\nQwen3-ForcedAligner-0.6B — ushbu ASR nashri bilan 0.6B hajm belgisini baham ko‘rsa ham, alohida moslashtirish modeli. U matn–audio juftligini olib, so‘z yoki belgi darajasidagi boshlanish va tugash vaqtlarini bashorat qiladi. Vaqt belgilari so‘ralganda ishlab chiqaruvchining oflayn ASR vositalari uni chaqirishi mumkin. Uning hujjatlashtirilgan tillari xitoy, ingliz, kanton, fransuz, nemis, italyan, yapon, koreys, portugal, rus va ispan; e’lon qilingan moslashtirish oralig‘i esa besh daqiqagacha nutqdir. Bu torroq tillar doirasi va besh daqiqalik oraliq ASR modelining umumiy transkripsiya qamroviga emas, majburiy moslashtirishga tegishli.\n\nSubtitrlar uchun yozuv tilida tekshirilgan transkripsiya tayyorlang, mos jarayon qo‘llanadigan joyda uni vaqtga moslashtiring va manbani eshitib, segment chegaralarini tekshiring. Foydalanishga yaroqli subtitr natijasi matn va vaqtlarni birga saqlaydi. Transkripsiyadagi so‘z xato bo‘lsa, vaqt oralig‘i uning to‘g‘riligini tasdiqlaydi deb o‘ylamasdan, matnni audio bo‘yicha tuzating. Bu ajratish muammo tanishda, taqdim etilgan matnda yoki subtitr chegarasining joylashuvida ekanini aniq ko‘rsatadi.\n\n### Uzun audio uchun chiqish va tanishni tekshirish\n\nQwen3-ASR oilasi uzun yozuvlarni qo‘llaydi. Inferensiya misollari uzunroq audio uchun ko‘proq chiqariladigan token ajratishni tavsiya qiladi; shuning uchun transkripsiya yozuv oxirigacha yetganini va chiqish uchun ajratilgan hajm uni kesib qo‘ymaganini tekshiring. E’lon qilingan misollar umumiy raqamli kontekst oynasi yoki ASR yozuvining eng katta davomiyligini belgilamaydi. Uzun yozuvni tekshirish uchun tashkil etayotganda foydali bo‘limlar va ularning manbadagi joylashuvlarini bog‘lab saqlang. Eshitilishi qiyin so‘zlar, til almashishi, ustma-ust nutq, noodatiy nomlar va kuylangan bo‘g‘inlarni asl ovoz bilan tekshiring. Amaliy natija — til belgisi bor tanilgan matn: qidiruv yoki keyingi kontent bosqichi uchun tayyor, zarur bo‘lsa, vaqtlar alohida moslashtirish jarayoni orqali qo‘shiladi.", "alias_of": null, "aliases": [], "author": "Alibaba", "capabilities": { "context_length": 0, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.00000666", "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": "0.00000666", "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-0.6b", "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-0.6b" ], "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-0.6b" ], "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-0.6b" }, "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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-0.6b', '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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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-0.6b", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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": "0.00000666", "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-0.6b", "request_model_id": "qwen/qwen3-asr-0.6b", "route_label": "Ultra" } ], "name": "Qwen: Qwen3 ASR 0.6B", "price": { "estimate_only": true, "in": null, "in_label": null, "out": 6.66e-06, "out_label": "estimate before generation", "scope_label": "Estimated generation cost", "sort_in": null, "sort_out": 6.66e-06, "varies": false }, "short": "Qwen3-ASR-0.6B — gapirilgan yoki kuylangan audioni tilini aniqlagan holda matnga aylantiruvchi ixcham Qwen nutqni tanish modeli. U oilaning 30 til va 22 lahjani qamrab olishini, oflayn va oqimli jarayonlarni hamda vaqt belgilariga ega matn uchun alohida majburiy moslashtirishni saqlaydi." }, "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-0.6B — gapirilgan yoki kuylangan audioni tilini aniqlagan holda matnga aylantiruvchi ixcham Qwen nutqni tanish modeli. U oilaning 30 til va 22 lahjani qamrab olishini, oflayn va oqimli jarayonlarni hamda vaqt belgilariga ega matn uchun alohida majburiy moslashtirishni saqlaydi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "f4211a2e298de28c9051fe5d53933a9a007d94149a522a605103f190a782bb07", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "b1108752dbafa7d4f523c2d7630ea8ed661964f4e310fb30722773f289ee93da" }