{ "aboutHtml": "

Google Gemini 3.5 Transcribe — to‘liq, avvaldan yozib olingan audio fayllarni yozma nutqqa aylantiradigan sinxron model. U Gemini’ning audioni tushunish imkoniyatlariga asoslangan, ammo transkripsiyaga xos kirish va chiqish shartlariga ega. Alohida Gemini 3.5 Transcribe Live nashri audio oqimini qabul qiladi va bosqichma-bosqich natijalarni qaytaradi. Yozib olingan audio uchun ushbu model tanlangan konfiguratsiyaga qarab ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchiga bog‘lash bilan yakunlangan transkript yaratadi.

Nutq signali kuchli qirqilib buzilmagan, imkon qadar ovozlar bir-biridan aniq ajralib eshitiladigan tiniq yozuvni tayyorlang. Ishlab chiqaruvchining sinxron misollari WAV audioni MIME turini ko‘rsatgan holda fayl baytlari yoki saqlangan audio resurs sifatida uzatadi. Tekshirish uchun asl audioni saqlang. Mo‘ljallangan natija tekshirilgan intervyu transkripti, subtitrni moslashtirish yozuvi yoki o‘qishga qulay diktovka bo‘lishi mumkin; so‘zlarni o‘zgartiradigan yoki metama’lumot qo‘shadigan imkoniyatlarni birlashtirishdan oldin qaysi artefakt kerakligini hal qiling.

Google 85 dan ortiq tilda tilni avtomatik aniqlashni, jumladan, bitta sessiya ichida tillarning aralashishini hujjatlashtiradi. Til qo‘llovi darajalari farqlanadi, ma’lum til haqida ishora esa tanishni yaxshilashi mumkin. Maxsus lug‘at uchrashi ehtimol bo‘lgan o‘ziga xos nomlar, brendlar yoki maxsus terminlarni beradi. Ishlab chiqaruvchi 1,000 tagacha terminga ruxsat beradi va odatda taxminan 100 tagacha bo‘lgan aniq yo‘naltirilgan ro‘yxatlar eng yaxshi ishlashini qayd etadi. Noodatiy terminlarni yozuvga tegishli tuting va lug‘at ishorasi termin aytilganini isbotlaydi deb taxmin qilish o‘rniga ularni audio bilan tekshiring.

VERBATIM — odatiy rejim. U ortiqcha to‘ldiruvchi so‘zlar, takrorlar, noto‘g‘ri boshlashlar va og‘zaki tuzatishlarni saqlaydi, shunda matn aytilgan so‘zlarning yozuvi bo‘lib qoladi. Vazifa so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratishni talab qilsa, shu rejimdan foydalaning. Masalan, intervyuda asl navbatlar va vaqtlarni saqlang, so‘ng tegishli parchani tinglab muhim nomlar va miqdorlarni tuzating. Keyingi xulosa yoki sayqallangan maqola so‘zlovchi aytganlarini bildirmay almashtirmasdan shu tekshirilgan yozuvdan foydalanishi mumkin.

SMART rejimi o‘qishga qulay diktovka uchun mo‘ljallangan. U nutqdagi uzilishlarni olib tashlaydi, matn ichidagi o‘zini tuzatishlarni hal qiladi va og‘zaki materialni xatboshi yoki ro‘yxatlarga tuzadi, tegishli joylarda sana va raqamlarni me’yorlashtiradi. Diktovka qilingan vazifalar ro‘yxati og‘zaki o‘tishlar zanjiri o‘rniga o‘qiladigan ro‘yxatga aylanishi mumkin. Shu ishlov transkript shaklini o‘zgartiradi. Google SMART so‘z vaqt belgilari va so‘zlovchilarni ajratish bilan mos kelmasligini ochiq aytadi, shuning uchun uni vaqtli va so‘zlovchiga bog‘langan yozuv sifatida ishlatishga urinish o‘rniga, kerakli artefakt o‘qishga qulay matn bo‘lganda tanlang.

So‘z darajasidagi vaqt belgilari yoqilganda javob tanilgan so‘zlarni boshlanish va tugash siljishlari bilan o‘z ichiga oladi. Bular yozuvdagi tuzatish joyini topish yoki subtitr tayyorlashga yordam beradi. Ishlab chiqaruvchi so‘z darajasidagi vaqt belgilarini yoqish aniqlikka ta’sir qilishi mumkinligini ko‘rsatadi. Ayniqsa tez nutq, ustma-ust gapirish yoki noodatiy terminologiya atrofida matnni ham, uning vaqt bo‘yicha mosligini ham tekshiring. Foydali vaqt belgilari bor transkript ravon gap uning vaqt bo‘yicha mosligi to‘g‘riligini isbotlaydi deb qabul qilish o‘rniga so‘zlar yozuvi va manba audioni birga saqlaydi.

So‘zlovchilarni ajratish yozib olingan audiodagi ovozlarni aniqlaydi va yorliqlaydi; sakkiztagacha so‘zlovchi hujjatlashtirilgan. Uch yoki undan ortiq so‘zlovchiga bog‘lashni ishlab chiqaruvchi tajribaviy deb tavsiflaydi. Yorliqlarni xulosa qilingan ovoz guruhlari sifatida ko‘ring va o‘tishlarni yozuv bilan tekshiring. So‘zlovchi yorlig‘i shaxs identifikatori yoki rolining mustaqil isboti emas. Vazifaga nomlar kerak bo‘lsa, tanilgan so‘zlardan shaxslarni o‘ylab topish o‘rniga yorliqlarni yozuv haqida ma’lum axborot bilan bog‘lang.

Ishlab chiqaruvchining imkoniyatlar jadvalida 15 daqiqalik yozib olingan audio oynasi ko‘rsatilgan; vaqt belgilari yoki so‘zlovchilarni ajratish kabi imkoniyatlar yoqilganda faylni qayta ishlash shu davomiylik bilan cheklanadi. Uzunroq manba materialini tartibi va asl vaqt o‘rnini saqlagan holda mos segmentlarga tayyorlang. Model transkripti, vaqtli so‘zlar va so‘zlovchi yorliqli qismlar natijaning turli ifodalaridir; vazifaga kerakli ifodani saqlang. Ushbu audioga xos chegaralarni umumiy Gemini multimodal modelining kontekst yoki davomiylik raqamlari bilan almashtirmaslik kerak. Google SMART formatlash, so‘z darajasidagi vaqt belgilari va so‘zlovchilarni ajratishni tajribaviy imkoniyatlar deb ko‘rsatadi.

Chiqish shartlari transkripsiyaga xos. SMART formatlash o‘qishga qulay matn yaratadi, ammo umumiy JSON-sxema javob shartnomasi, vosita chaqirish imkoniyati yoki ko‘rsatmalarga rioya qiladigan yordamchi jarayonini qo‘shmaydi. Yakuniy artefaktda muhim ifodalar, raqamlar va inkorlarni audio bilan tekshiring, hal qilinmagan segmentlarni tuzatish uchun saqlang hamda tanlangan rejimni natija bilan qoldiring. Bu topshiriladigan natija asl og‘zaki so‘zlarni qayd etadimi yoki undan olingan tahrirlangan o‘qish variantini taqdim etadimi, aniq qiladi.

", "aboutText": "Google Gemini 3.5 Transcribe — to‘liq, avvaldan yozib olingan audio fayllarni yozma nutqqa aylantiradigan sinxron model. U Gemini’ning audioni tushunish imkoniyatlariga asoslangan, ammo transkripsiyaga xos kirish va chiqish shartlariga ega. Alohida Gemini 3.5 Transcribe Live nashri audio oqimini qabul qiladi va bosqichma-bosqich natijalarni qaytaradi. Yozib olingan audio uchun ushbu model tanlangan konfiguratsiyaga qarab ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchiga bog‘lash bilan yakunlangan transkript yaratadi.\n\nNutq signali kuchli qirqilib buzilmagan, imkon qadar ovozlar bir-biridan aniq ajralib eshitiladigan tiniq yozuvni tayyorlang. Ishlab chiqaruvchining sinxron misollari WAV audioni MIME turini ko‘rsatgan holda fayl baytlari yoki saqlangan audio resurs sifatida uzatadi. Tekshirish uchun asl audioni saqlang. Mo‘ljallangan natija tekshirilgan intervyu transkripti, subtitrni moslashtirish yozuvi yoki o‘qishga qulay diktovka bo‘lishi mumkin; so‘zlarni o‘zgartiradigan yoki metama’lumot qo‘shadigan imkoniyatlarni birlashtirishdan oldin qaysi artefakt kerakligini hal qiling.\n\nGoogle 85 dan ortiq tilda tilni avtomatik aniqlashni, jumladan, bitta sessiya ichida tillarning aralashishini hujjatlashtiradi. Til qo‘llovi darajalari farqlanadi, ma’lum til haqida ishora esa tanishni yaxshilashi mumkin. Maxsus lug‘at uchrashi ehtimol bo‘lgan o‘ziga xos nomlar, brendlar yoki maxsus terminlarni beradi. Ishlab chiqaruvchi 1,000 tagacha terminga ruxsat beradi va odatda taxminan 100 tagacha bo‘lgan aniq yo‘naltirilgan ro‘yxatlar eng yaxshi ishlashini qayd etadi. Noodatiy terminlarni yozuvga tegishli tuting va lug‘at ishorasi termin aytilganini isbotlaydi deb taxmin qilish o‘rniga ularni audio bilan tekshiring.\n\nVERBATIM — odatiy rejim. U ortiqcha to‘ldiruvchi so‘zlar, takrorlar, noto‘g‘ri boshlashlar va og‘zaki tuzatishlarni saqlaydi, shunda matn aytilgan so‘zlarning yozuvi bo‘lib qoladi. Vazifa so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratishni talab qilsa, shu rejimdan foydalaning. Masalan, intervyuda asl navbatlar va vaqtlarni saqlang, so‘ng tegishli parchani tinglab muhim nomlar va miqdorlarni tuzating. Keyingi xulosa yoki sayqallangan maqola so‘zlovchi aytganlarini bildirmay almashtirmasdan shu tekshirilgan yozuvdan foydalanishi mumkin.\n\nSMART rejimi o‘qishga qulay diktovka uchun mo‘ljallangan. U nutqdagi uzilishlarni olib tashlaydi, matn ichidagi o‘zini tuzatishlarni hal qiladi va og‘zaki materialni xatboshi yoki ro‘yxatlarga tuzadi, tegishli joylarda sana va raqamlarni me’yorlashtiradi. Diktovka qilingan vazifalar ro‘yxati og‘zaki o‘tishlar zanjiri o‘rniga o‘qiladigan ro‘yxatga aylanishi mumkin. Shu ishlov transkript shaklini o‘zgartiradi. Google SMART so‘z vaqt belgilari va so‘zlovchilarni ajratish bilan mos kelmasligini ochiq aytadi, shuning uchun uni vaqtli va so‘zlovchiga bog‘langan yozuv sifatida ishlatishga urinish o‘rniga, kerakli artefakt o‘qishga qulay matn bo‘lganda tanlang.\n\nSo‘z darajasidagi vaqt belgilari yoqilganda javob tanilgan so‘zlarni boshlanish va tugash siljishlari bilan o‘z ichiga oladi. Bular yozuvdagi tuzatish joyini topish yoki subtitr tayyorlashga yordam beradi. Ishlab chiqaruvchi so‘z darajasidagi vaqt belgilarini yoqish aniqlikka ta’sir qilishi mumkinligini ko‘rsatadi. Ayniqsa tez nutq, ustma-ust gapirish yoki noodatiy terminologiya atrofida matnni ham, uning vaqt bo‘yicha mosligini ham tekshiring. Foydali vaqt belgilari bor transkript ravon gap uning vaqt bo‘yicha mosligi to‘g‘riligini isbotlaydi deb qabul qilish o‘rniga so‘zlar yozuvi va manba audioni birga saqlaydi.\n\nSo‘zlovchilarni ajratish yozib olingan audiodagi ovozlarni aniqlaydi va yorliqlaydi; sakkiztagacha so‘zlovchi hujjatlashtirilgan. Uch yoki undan ortiq so‘zlovchiga bog‘lashni ishlab chiqaruvchi tajribaviy deb tavsiflaydi. Yorliqlarni xulosa qilingan ovoz guruhlari sifatida ko‘ring va o‘tishlarni yozuv bilan tekshiring. So‘zlovchi yorlig‘i shaxs identifikatori yoki rolining mustaqil isboti emas. Vazifaga nomlar kerak bo‘lsa, tanilgan so‘zlardan shaxslarni o‘ylab topish o‘rniga yorliqlarni yozuv haqida ma’lum axborot bilan bog‘lang.\n\nIshlab chiqaruvchining imkoniyatlar jadvalida 15 daqiqalik yozib olingan audio oynasi ko‘rsatilgan; vaqt belgilari yoki so‘zlovchilarni ajratish kabi imkoniyatlar yoqilganda faylni qayta ishlash shu davomiylik bilan cheklanadi. Uzunroq manba materialini tartibi va asl vaqt o‘rnini saqlagan holda mos segmentlarga tayyorlang. Model transkripti, vaqtli so‘zlar va so‘zlovchi yorliqli qismlar natijaning turli ifodalaridir; vazifaga kerakli ifodani saqlang. Ushbu audioga xos chegaralarni umumiy Gemini multimodal modelining kontekst yoki davomiylik raqamlari bilan almashtirmaslik kerak. Google SMART formatlash, so‘z darajasidagi vaqt belgilari va so‘zlovchilarni ajratishni tajribaviy imkoniyatlar deb ko‘rsatadi.\n\nChiqish shartlari transkripsiyaga xos. SMART formatlash o‘qishga qulay matn yaratadi, ammo umumiy JSON-sxema javob shartnomasi, vosita chaqirish imkoniyati yoki ko‘rsatmalarga rioya qiladigan yordamchi jarayonini qo‘shmaydi. Yakuniy artefaktda muhim ifodalar, raqamlar va inkorlarni audio bilan tekshiring, hal qilinmagan segmentlarni tuzatish uchun saqlang hamda tanlangan rejimni natija bilan qoldiring. Bu topshiriladigan natija asl og‘zaki so‘zlarni qayd etadimi yoki undan olingan tahrirlangan o‘qish variantini taqdim etadimi, aniq qiladi.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "7109ce988ff99dc08372eb83271e966ebeefb2b5712360f4ec5e33fa22049464", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
G

Google: Gemini 3.5 Transcribe

Google /google/gemini-3.5-transcribe

Boshlash

Google Gemini 3.5 Transcribe yozib olingan nutqni tilni avtomatik aniqlash, maxsus lug‘at va ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratish bilan matnga aylantiradi. Vaqt belgilari va so‘zlovchiga bog‘lash uchun VERBATIM, o‘qishga qulay diktovka uchun SMART’ni tanlang; SMART’ni shu ikkita imkoniyat bilan birlashtirib bo‘lmaydi.

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.

Google Gemini 3.5 Transcribe — to‘liq, avvaldan yozib olingan audio fayllarni yozma nutqqa aylantiradigan sinxron model. U Gemini’ning audioni tushunish imkoniyatlariga asoslangan, ammo transkripsiyaga xos kirish va chiqish shartlariga ega. Alohida Gemini 3.5 Transcribe Live nashri audio oqimini qabul qiladi va bosqichma-bosqich natijalarni qaytaradi. Yozib olingan audio uchun ushbu model tanlangan konfiguratsiyaga qarab ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchiga bog‘lash bilan yakunlangan transkript yaratadi.

Nutq signali kuchli qirqilib buzilmagan, imkon qadar ovozlar bir-biridan aniq ajralib eshitiladigan tiniq yozuvni tayyorlang. Ishlab chiqaruvchining sinxron misollari WAV audioni MIME turini ko‘rsatgan holda fayl baytlari yoki saqlangan audio resurs sifatida uzatadi. Tekshirish uchun asl audioni saqlang. Mo‘ljallangan natija tekshirilgan intervyu transkripti, subtitrni moslashtirish yozuvi yoki o‘qishga qulay diktovka bo‘lishi mumkin; so‘zlarni o‘zgartiradigan yoki metama’lumot qo‘shadigan imkoniyatlarni birlashtirishdan oldin qaysi artefakt kerakligini hal qiling.

Google 85 dan ortiq tilda tilni avtomatik aniqlashni, jumladan, bitta sessiya ichida tillarning aralashishini hujjatlashtiradi. Til qo‘llovi darajalari farqlanadi, ma’lum til haqida ishora esa tanishni yaxshilashi mumkin. Maxsus lug‘at uchrashi ehtimol bo‘lgan o‘ziga xos nomlar, brendlar yoki maxsus terminlarni beradi. Ishlab chiqaruvchi 1,000 tagacha terminga ruxsat beradi va odatda taxminan 100 tagacha bo‘lgan aniq yo‘naltirilgan ro‘yxatlar eng yaxshi ishlashini qayd etadi. Noodatiy terminlarni yozuvga tegishli tuting va lug‘at ishorasi termin aytilganini isbotlaydi deb taxmin qilish o‘rniga ularni audio bilan tekshiring.

VERBATIM — odatiy rejim. U ortiqcha to‘ldiruvchi so‘zlar, takrorlar, noto‘g‘ri boshlashlar va og‘zaki tuzatishlarni saqlaydi, shunda matn aytilgan so‘zlarning yozuvi bo‘lib qoladi. Vazifa so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratishni talab qilsa, shu rejimdan foydalaning. Masalan, intervyuda asl navbatlar va vaqtlarni saqlang, so‘ng tegishli parchani tinglab muhim nomlar va miqdorlarni tuzating. Keyingi xulosa yoki sayqallangan maqola so‘zlovchi aytganlarini bildirmay almashtirmasdan shu tekshirilgan yozuvdan foydalanishi mumkin.

SMART rejimi o‘qishga qulay diktovka uchun mo‘ljallangan. U nutqdagi uzilishlarni olib tashlaydi, matn ichidagi o‘zini tuzatishlarni hal qiladi va og‘zaki materialni xatboshi yoki ro‘yxatlarga tuzadi, tegishli joylarda sana va raqamlarni me’yorlashtiradi. Diktovka qilingan vazifalar ro‘yxati og‘zaki o‘tishlar zanjiri o‘rniga o‘qiladigan ro‘yxatga aylanishi mumkin. Shu ishlov transkript shaklini o‘zgartiradi. Google SMART so‘z vaqt belgilari va so‘zlovchilarni ajratish bilan mos kelmasligini ochiq aytadi, shuning uchun uni vaqtli va so‘zlovchiga bog‘langan yozuv sifatida ishlatishga urinish o‘rniga, kerakli artefakt o‘qishga qulay matn bo‘lganda tanlang.

So‘z darajasidagi vaqt belgilari yoqilganda javob tanilgan so‘zlarni boshlanish va tugash siljishlari bilan o‘z ichiga oladi. Bular yozuvdagi tuzatish joyini topish yoki subtitr tayyorlashga yordam beradi. Ishlab chiqaruvchi so‘z darajasidagi vaqt belgilarini yoqish aniqlikka ta’sir qilishi mumkinligini ko‘rsatadi. Ayniqsa tez nutq, ustma-ust gapirish yoki noodatiy terminologiya atrofida matnni ham, uning vaqt bo‘yicha mosligini ham tekshiring. Foydali vaqt belgilari bor transkript ravon gap uning vaqt bo‘yicha mosligi to‘g‘riligini isbotlaydi deb qabul qilish o‘rniga so‘zlar yozuvi va manba audioni birga saqlaydi.

So‘zlovchilarni ajratish yozib olingan audiodagi ovozlarni aniqlaydi va yorliqlaydi; sakkiztagacha so‘zlovchi hujjatlashtirilgan. Uch yoki undan ortiq so‘zlovchiga bog‘lashni ishlab chiqaruvchi tajribaviy deb tavsiflaydi. Yorliqlarni xulosa qilingan ovoz guruhlari sifatida ko‘ring va o‘tishlarni yozuv bilan tekshiring. So‘zlovchi yorlig‘i shaxs identifikatori yoki rolining mustaqil isboti emas. Vazifaga nomlar kerak bo‘lsa, tanilgan so‘zlardan shaxslarni o‘ylab topish o‘rniga yorliqlarni yozuv haqida ma’lum axborot bilan bog‘lang.

Ishlab chiqaruvchining imkoniyatlar jadvalida 15 daqiqalik yozib olingan audio oynasi ko‘rsatilgan; vaqt belgilari yoki so‘zlovchilarni ajratish kabi imkoniyatlar yoqilganda faylni qayta ishlash shu davomiylik bilan cheklanadi. Uzunroq manba materialini tartibi va asl vaqt o‘rnini saqlagan holda mos segmentlarga tayyorlang. Model transkripti, vaqtli so‘zlar va so‘zlovchi yorliqli qismlar natijaning turli ifodalaridir; vazifaga kerakli ifodani saqlang. Ushbu audioga xos chegaralarni umumiy Gemini multimodal modelining kontekst yoki davomiylik raqamlari bilan almashtirmaslik kerak. Google SMART formatlash, so‘z darajasidagi vaqt belgilari va so‘zlovchilarni ajratishni tajribaviy imkoniyatlar deb ko‘rsatadi.

Chiqish shartlari transkripsiyaga xos. SMART formatlash o‘qishga qulay matn yaratadi, ammo umumiy JSON-sxema javob shartnomasi, vosita chaqirish imkoniyati yoki ko‘rsatmalarga rioya qiladigan yordamchi jarayonini qo‘shmaydi. Yakuniy artefaktda muhim ifodalar, raqamlar va inkorlarni audio bilan tekshiring, hal qilinmagan segmentlarni tuzatish uchun saqlang hamda tanlangan rejimni natija bilan qoldiring. Bu topshiriladigan natija asl og‘zaki so‘zlarni qayd etadimi yoki undan olingan tahrirlangan o‘qish variantini taqdim etadimi, aniq qiladi.

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
google/gemini-3.5-transcribe
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 tokeniTariflar jadvali—Prognoz miqdori—Hisob birligi/ 1K tokenTo‘lov
Kirish · Faqat taqqoslash uchun taxmin $0.004 / 1K token
Sozlamachiqish tokeniTariflar jadvali—Prognoz miqdori—Hisob birligi/ 1K tokenTo‘lov
Chiqish · Faqat taqqoslash uchun taxmin $0.024 / 1K token
SozlamaYaratishning taxminiy qiymatiTariflar jadvali—Prognoz miqdoribir generatsiya uchun taxminHisob birligi—To‘lov
Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin $1.179648 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': 'google/gemini-3.5-transcribe', '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 google/gemini-3.5-transcribe

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

google/gemini-3.5-transcribe

", "method_identity": { "effective_request_model_id": "google/gemini-3.5-transcribe", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "google/gemini-3.5-transcribe", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|google%2Fgemini-3.5-transcribe", "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": [ "google/gemini-3.5-transcribe" ], "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": [ "google/gemini-3.5-transcribe" ], "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": "google/gemini-3.5-transcribe" }, "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": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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" } ] }, { "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": "1.179648", "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": "1.179648", "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: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'google/gemini-3.5-transcribe', 'input_audio': {'data': '${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": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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" } ] }, { "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": "1.179648", "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": "1.179648", "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": "google/gemini-3.5-transcribe", "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": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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": "1.179648", "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": "1.179648", "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": "google/gemini-3.5-transcribe", "nativeProvenance": { "input_facts_canonical_sha256": "679a300a0df54a4104e3a149e37d5830ca9c55f0eab5a580b0659ab360ef08ed", "input_html_sha256": "cc55de216099a6c278739d617614ccef4189b68fa82fde47ea152ecabef02190", "private_audit_sha256": "ee9f5bc8bbfbc0c8d5eec4b6b6f6a1f02fe32924f8ce42800ac9d557cd88479e", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/google-gemini-3-5-transcribe/", "description": "Google Gemini 3.5 Transcribe yozib olingan nutqni tilni avtomatik aniqlash, maxsus lug‘at va ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratish bilan matnga aylantiradi. Vaqt belgilari va so‘zlovchiga bog‘lash uchun VERBATIM, o‘qishga qulay diktovka uchun SMART’ni tanlang; SMART’ni shu ikkita imkoniyat bilan birlashtirib bo‘lmaydi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/google-gemini-3-5-transcribe/index.md", "title": "Google: Gemini 3.5 Transcribe — Ailoot", "url": "https://ailoot.ai/models/uz/google-gemini-3-5-transcribe/" }, "rawModel": { "about": "Google Gemini 3.5 Transcribe — to‘liq, avvaldan yozib olingan audio fayllarni yozma nutqqa aylantiradigan sinxron model. U Gemini’ning audioni tushunish imkoniyatlariga asoslangan, ammo transkripsiyaga xos kirish va chiqish shartlariga ega. Alohida Gemini 3.5 Transcribe Live nashri audio oqimini qabul qiladi va bosqichma-bosqich natijalarni qaytaradi. Yozib olingan audio uchun ushbu model tanlangan konfiguratsiyaga qarab ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchiga bog‘lash bilan yakunlangan transkript yaratadi.\n\nNutq signali kuchli qirqilib buzilmagan, imkon qadar ovozlar bir-biridan aniq ajralib eshitiladigan tiniq yozuvni tayyorlang. Ishlab chiqaruvchining sinxron misollari WAV audioni MIME turini ko‘rsatgan holda fayl baytlari yoki saqlangan audio resurs sifatida uzatadi. Tekshirish uchun asl audioni saqlang. Mo‘ljallangan natija tekshirilgan intervyu transkripti, subtitrni moslashtirish yozuvi yoki o‘qishga qulay diktovka bo‘lishi mumkin; so‘zlarni o‘zgartiradigan yoki metama’lumot qo‘shadigan imkoniyatlarni birlashtirishdan oldin qaysi artefakt kerakligini hal qiling.\n\nGoogle 85 dan ortiq tilda tilni avtomatik aniqlashni, jumladan, bitta sessiya ichida tillarning aralashishini hujjatlashtiradi. Til qo‘llovi darajalari farqlanadi, ma’lum til haqida ishora esa tanishni yaxshilashi mumkin. Maxsus lug‘at uchrashi ehtimol bo‘lgan o‘ziga xos nomlar, brendlar yoki maxsus terminlarni beradi. Ishlab chiqaruvchi 1,000 tagacha terminga ruxsat beradi va odatda taxminan 100 tagacha bo‘lgan aniq yo‘naltirilgan ro‘yxatlar eng yaxshi ishlashini qayd etadi. Noodatiy terminlarni yozuvga tegishli tuting va lug‘at ishorasi termin aytilganini isbotlaydi deb taxmin qilish o‘rniga ularni audio bilan tekshiring.\n\nVERBATIM — odatiy rejim. U ortiqcha to‘ldiruvchi so‘zlar, takrorlar, noto‘g‘ri boshlashlar va og‘zaki tuzatishlarni saqlaydi, shunda matn aytilgan so‘zlarning yozuvi bo‘lib qoladi. Vazifa so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratishni talab qilsa, shu rejimdan foydalaning. Masalan, intervyuda asl navbatlar va vaqtlarni saqlang, so‘ng tegishli parchani tinglab muhim nomlar va miqdorlarni tuzating. Keyingi xulosa yoki sayqallangan maqola so‘zlovchi aytganlarini bildirmay almashtirmasdan shu tekshirilgan yozuvdan foydalanishi mumkin.\n\nSMART rejimi o‘qishga qulay diktovka uchun mo‘ljallangan. U nutqdagi uzilishlarni olib tashlaydi, matn ichidagi o‘zini tuzatishlarni hal qiladi va og‘zaki materialni xatboshi yoki ro‘yxatlarga tuzadi, tegishli joylarda sana va raqamlarni me’yorlashtiradi. Diktovka qilingan vazifalar ro‘yxati og‘zaki o‘tishlar zanjiri o‘rniga o‘qiladigan ro‘yxatga aylanishi mumkin. Shu ishlov transkript shaklini o‘zgartiradi. Google SMART so‘z vaqt belgilari va so‘zlovchilarni ajratish bilan mos kelmasligini ochiq aytadi, shuning uchun uni vaqtli va so‘zlovchiga bog‘langan yozuv sifatida ishlatishga urinish o‘rniga, kerakli artefakt o‘qishga qulay matn bo‘lganda tanlang.\n\nSo‘z darajasidagi vaqt belgilari yoqilganda javob tanilgan so‘zlarni boshlanish va tugash siljishlari bilan o‘z ichiga oladi. Bular yozuvdagi tuzatish joyini topish yoki subtitr tayyorlashga yordam beradi. Ishlab chiqaruvchi so‘z darajasidagi vaqt belgilarini yoqish aniqlikka ta’sir qilishi mumkinligini ko‘rsatadi. Ayniqsa tez nutq, ustma-ust gapirish yoki noodatiy terminologiya atrofida matnni ham, uning vaqt bo‘yicha mosligini ham tekshiring. Foydali vaqt belgilari bor transkript ravon gap uning vaqt bo‘yicha mosligi to‘g‘riligini isbotlaydi deb qabul qilish o‘rniga so‘zlar yozuvi va manba audioni birga saqlaydi.\n\nSo‘zlovchilarni ajratish yozib olingan audiodagi ovozlarni aniqlaydi va yorliqlaydi; sakkiztagacha so‘zlovchi hujjatlashtirilgan. Uch yoki undan ortiq so‘zlovchiga bog‘lashni ishlab chiqaruvchi tajribaviy deb tavsiflaydi. Yorliqlarni xulosa qilingan ovoz guruhlari sifatida ko‘ring va o‘tishlarni yozuv bilan tekshiring. So‘zlovchi yorlig‘i shaxs identifikatori yoki rolining mustaqil isboti emas. Vazifaga nomlar kerak bo‘lsa, tanilgan so‘zlardan shaxslarni o‘ylab topish o‘rniga yorliqlarni yozuv haqida ma’lum axborot bilan bog‘lang.\n\nIshlab chiqaruvchining imkoniyatlar jadvalida 15 daqiqalik yozib olingan audio oynasi ko‘rsatilgan; vaqt belgilari yoki so‘zlovchilarni ajratish kabi imkoniyatlar yoqilganda faylni qayta ishlash shu davomiylik bilan cheklanadi. Uzunroq manba materialini tartibi va asl vaqt o‘rnini saqlagan holda mos segmentlarga tayyorlang. Model transkripti, vaqtli so‘zlar va so‘zlovchi yorliqli qismlar natijaning turli ifodalaridir; vazifaga kerakli ifodani saqlang. Ushbu audioga xos chegaralarni umumiy Gemini multimodal modelining kontekst yoki davomiylik raqamlari bilan almashtirmaslik kerak. Google SMART formatlash, so‘z darajasidagi vaqt belgilari va so‘zlovchilarni ajratishni tajribaviy imkoniyatlar deb ko‘rsatadi.\n\nChiqish shartlari transkripsiyaga xos. SMART formatlash o‘qishga qulay matn yaratadi, ammo umumiy JSON-sxema javob shartnomasi, vosita chaqirish imkoniyati yoki ko‘rsatmalarga rioya qiladigan yordamchi jarayonini qo‘shmaydi. Yakuniy artefaktda muhim ifodalar, raqamlar va inkorlarni audio bilan tekshiring, hal qilinmagan segmentlarni tuzatish uchun saqlang hamda tanlangan rejimni natija bilan qoldiring. Bu topshiriladigan natija asl og‘zaki so‘zlarni qayd etadimi yoki undan olingan tahrirlangan o‘qish variantini taqdim etadimi, aniq qiladi.", "alias_of": null, "aliases": [], "author": "Google", "capabilities": { "context_length": 98304, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "1.179648", "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": "1.179648", "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": "google/gemini-3.5-transcribe", "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": [ "google/gemini-3.5-transcribe" ], "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": [ "google/gemini-3.5-transcribe" ], "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": "google/gemini-3.5-transcribe" }, "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": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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" } ] }, { "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": "1.179648", "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": "1.179648", "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': 'google/gemini-3.5-transcribe', '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": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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" } ] }, { "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": "1.179648", "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": "1.179648", "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": "google/gemini-3.5-transcribe", "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": "0.004000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000004", "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": "0.024000", "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000024", "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": "1.179648", "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": "1.179648", "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": "google/gemini-3.5-transcribe", "request_model_id": "google/gemini-3.5-transcribe", "route_label": "Ultra" } ], "name": "Google: Gemini 3.5 Transcribe", "price": { "estimate_only": true, "in": null, "in_label": null, "out": 1.179648, "out_label": "estimate before generation", "scope_label": "Estimated generation cost", "sort_in": null, "sort_out": 1.179648, "varies": false }, "short": "Google Gemini 3.5 Transcribe yozib olingan nutqni tilni avtomatik aniqlash, maxsus lug‘at va ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratish bilan matnga aylantiradi. Vaqt belgilari va so‘zlovchiga bog‘lash uchun VERBATIM, o‘qishga qulay diktovka uchun SMART’ni tanlang; SMART’ni shu ikkita imkoniyat bilan birlashtirib bo‘lmaydi." }, "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": "Google Gemini 3.5 Transcribe yozib olingan nutqni tilni avtomatik aniqlash, maxsus lug‘at va ixtiyoriy so‘z darajasidagi vaqt belgilari yoki so‘zlovchilarni ajratish bilan matnga aylantiradi. Vaqt belgilari va so‘zlovchiga bog‘lash uchun VERBATIM, o‘qishga qulay diktovka uchun SMART’ni tanlang; SMART’ni shu ikkita imkoniyat bilan birlashtirib bo‘lmaydi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "58a439b74bc70457b3f6d5d65a6a31b9d59a125a5d62bea2e9e85ace718deb3e", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "505a8bd804a38bae627ffdb46dbf70ebb37d79cccca7de1b616caba6791871f0" }