{ "aboutHtml": "

Google Gemini 3.8 Flash-Lite TTS — Google’ning 3.8 matndan nutqqa aylantirish oilasining katta hajmda ishlab chiqarishga yo‘naltirilgan a’zosi. U yozma ssenariyni qabul qiladi va og‘zaki audio yaratadi. Google uni ovoz chiqarib o‘qish funksiyalari, kundalik bir so‘zlovchili diktorlik, katta hajmdagi audio ishlab chiqarish va ovozli agent tizimlarining nutq chiqarish bosqichi uchun joylashtiradi. Foydali natija izchil ovozda o‘qilgan maqola, og‘zaki mahsulot izohi yoki qisqa o‘rgatuvchi yozuvlar to‘plami bo‘ladi. Ssenariy allaqachon tinglovchi eshitishi kerak bo‘lgan so‘zlarni o‘z ichiga olishi kerak.

3.8 oilasi transkriptni ijro ko‘rsatmalaridan ajratadi. Og‘zaki matnni so‘zma-so‘z saqlang va davomli hissiyot, sur’at, balandlik yoki ijro uslubini nutq metama’lumotlariga joylashtiring. Iliq kirish, shoshilinch ko‘rsatma va sokin yakunning har biriga o‘z navbatiga biriktirilgan qisqa uslub tavsifi berilishi mumkin. Transkript ichidagi “Quvnoq ayting” kabi matnning o‘zi o‘qilishi mumkin. So‘zlovchi nomlari eshitiladigan ssenariydagi yorliq emas, so‘zlovchi metama’lumotlariga tegishli. Bu tayyorlash, ayniqsa, Gemini 3.1 Flash TTS uchun yozilgan promptlarni qayta ishlatishda muhim.

Muayyan nuqtadagi qisqa hodisalar — nafas, kulgi, yo‘tal, xo‘rsinish yoki pauza uchun matn ichidagi burchakli qavs teglaridan foydalaning. Masalan, “Keyingi bosqich oddiy. <short pause> O‘zingiz xohlagan tilni tanlang.” transkripti kerakli pauzani u ta’sir qiladigan so‘zlar yonida saqlaydi. Davomli shivirlab ijroni hodisa teglarini qayta-qayta qo‘shish o‘rniga uslub tavsifiga kiriting. Google boshqa tillardagi ssenariylar uchun ham inglizcha teg nomlarini tavsiya qiladi. Bu boshqaruvlar ovozni yo‘naltiradi; qarsak ovozi yozuvi yoki eshikning qattiq yopilishi ovoz hodisasi tegini emas, alohida tovush ishlab chiqarishni talab qiladi.

Google ushbu nashr uchun 101 qo‘llab-quvvatlanadigan tilni, jumladan, ingliz, rus, xitoy, yapon, koreys, fransuz, nemis, ispan, indonez va vyetnam tillarini ko‘rsatadi. Yakuniy ssenariyni kerakli tilda, nomlar, qisqartmalar va raqamlarning kerakli shakli bilan yozing. Tahririy tayyorlash sifatida tinglovchi aynan bitta shaklni eshitishi shart bo‘lsa, noaniq qisqartmani yoki raqamning kerakli o‘qilishini to‘liq yozing. Uzun yozuvni tayyor deb qabul qilishdan oldin qiyin nomlar va o‘tishlar bor dastlabki parchani tinglang. Tillar soni barcha hududiy talaffuzlarni o‘zaro almashtiriladigan qilmaydi.

Ishlab chiqaruvchi tayyor ovozlar, kengaytirilgan ovoz kutubxonasi, yaratilgan ovoz personajlari va ovozni klonlashni qo‘llab-quvvatlaydi. Ovoz identifikatorini vaqtinchalik aktyorlik ko‘rsatmalaridan alohida tanlang. Diktorlik izchil qolishi kerak bo‘lsa, bo‘limlar davomida shu identifikator va ixcham ijro tavsifini qayta ishlating. Hujjatlashtirilgan ikki so‘zlovchili konfiguratsiyada har bir navbatga sozlangan ikkita tayyor ovozdan biriga mos aniq so‘zlovchini bering. Google qo‘llanmasi yaratilgan yoki klonlangan ovozli ko‘p qahramonli sahnalarni alohida navbatlar yaratish orqali bajaradi. Bitta diktor o‘rniga muloqotni rejalashda bu farq muhim.

Oddiy yakunlangan so‘rovlar uchun Google’ning 3.8 qo‘llanmasi RIFF sarlavhali, 24 kHz mono, 16 bitli ishorali little-endian PCM’ni o‘z ichiga oladigan WAV audioni belgilaydi. Oqimli konfiguratsiya esa odatiy holatda sarlavhasiz xom PCM bo‘laklarini qaytaradi; qo‘llanma xom chiziqli PCM, mu-law va A-law kodlash variantlarini ham hujjatlashtiradi. Eshitish yoki tahrirlash sozlamalarini haqiqiy chiqish formatiga moslang. Sarlavhasiz PCM fayli kengaytmasini WAV’ga almashtirish konteyner ma’lumotini qo‘shmaydi. Alohida yaratilgan navbatlarni yig‘ishda audio formatni bir xil tuting va har bir to‘liq WAV’ni o‘z sarlavhasiga ega fayl sifatida ko‘ring.

Aynan shu model sahifasi Gemini API chegaralarini 8,192 kirish tokeni va 16,384 chiqish tokeni deb ko‘rsatadi. Audio tokenlar nutq davomiyligini soniyalarda qat’iy belgilamaydi. Uzun materialni mazmunli bo‘limlarda tayyorlang, bir xil ovoz va uslub topshirig‘ini saqlang hamda tutashuvlarni tinglang. Bular ishlab chiqaruvchining ushbu model uchun hujjatlashtirilgan xizmat chegaralaridir; ular umumiy katalog kontekst maydonidan farqli miqdorni tavsiflaydi. Matn kirish, audio esa chiqish bo‘lgani uchun ssenariy qoralash, tarjima va transkripsiya alohida tayyorlash yoki keyingi vazifalardir.

Flash-Lite Gemini 3.8 Flash TTS bilan 3.8 so‘rov tuzilmasini birga ishlatadi. Amaliy tanlov kerakli ijroga bog‘liq: Flash-Lite tez va takroriy ishlab chiqarishga yo‘naltirilgan, Flash TTS esa qiyin talaffuz, nozik aktyorlik va kengroq lahja qamrovi uchun ijodiy darajadir. Odatiy yordam maqolasi va dramatik ikki qahramonli sahna ovozga turli talablar qo‘yadi. Uni yakuniy tinglash tajribasida ishlatishdan oldin haqiqiy yozuvda tushib qolgan yoki takrorlangan so‘zlar, talaffuz, sur’at va segmentlar orasidagi eshitiladigan o‘zgarishlarni tekshiring.

", "aboutText": "Google Gemini 3.8 Flash-Lite TTS — Google’ning 3.8 matndan nutqqa aylantirish oilasining katta hajmda ishlab chiqarishga yo‘naltirilgan a’zosi. U yozma ssenariyni qabul qiladi va og‘zaki audio yaratadi. Google uni ovoz chiqarib o‘qish funksiyalari, kundalik bir so‘zlovchili diktorlik, katta hajmdagi audio ishlab chiqarish va ovozli agent tizimlarining nutq chiqarish bosqichi uchun joylashtiradi. Foydali natija izchil ovozda o‘qilgan maqola, og‘zaki mahsulot izohi yoki qisqa o‘rgatuvchi yozuvlar to‘plami bo‘ladi. Ssenariy allaqachon tinglovchi eshitishi kerak bo‘lgan so‘zlarni o‘z ichiga olishi kerak.\n\n3.8 oilasi transkriptni ijro ko‘rsatmalaridan ajratadi. Og‘zaki matnni so‘zma-so‘z saqlang va davomli hissiyot, sur’at, balandlik yoki ijro uslubini nutq metama’lumotlariga joylashtiring. Iliq kirish, shoshilinch ko‘rsatma va sokin yakunning har biriga o‘z navbatiga biriktirilgan qisqa uslub tavsifi berilishi mumkin. Transkript ichidagi “Quvnoq ayting” kabi matnning o‘zi o‘qilishi mumkin. So‘zlovchi nomlari eshitiladigan ssenariydagi yorliq emas, so‘zlovchi metama’lumotlariga tegishli. Bu tayyorlash, ayniqsa, Gemini 3.1 Flash TTS uchun yozilgan promptlarni qayta ishlatishda muhim.\n\nMuayyan nuqtadagi qisqa hodisalar — nafas, kulgi, yo‘tal, xo‘rsinish yoki pauza uchun matn ichidagi burchakli qavs teglaridan foydalaning. Masalan, “Keyingi bosqich oddiy. O‘zingiz xohlagan tilni tanlang.” transkripti kerakli pauzani u ta’sir qiladigan so‘zlar yonida saqlaydi. Davomli shivirlab ijroni hodisa teglarini qayta-qayta qo‘shish o‘rniga uslub tavsifiga kiriting. Google boshqa tillardagi ssenariylar uchun ham inglizcha teg nomlarini tavsiya qiladi. Bu boshqaruvlar ovozni yo‘naltiradi; qarsak ovozi yozuvi yoki eshikning qattiq yopilishi ovoz hodisasi tegini emas, alohida tovush ishlab chiqarishni talab qiladi.\n\nGoogle ushbu nashr uchun 101 qo‘llab-quvvatlanadigan tilni, jumladan, ingliz, rus, xitoy, yapon, koreys, fransuz, nemis, ispan, indonez va vyetnam tillarini ko‘rsatadi. Yakuniy ssenariyni kerakli tilda, nomlar, qisqartmalar va raqamlarning kerakli shakli bilan yozing. Tahririy tayyorlash sifatida tinglovchi aynan bitta shaklni eshitishi shart bo‘lsa, noaniq qisqartmani yoki raqamning kerakli o‘qilishini to‘liq yozing. Uzun yozuvni tayyor deb qabul qilishdan oldin qiyin nomlar va o‘tishlar bor dastlabki parchani tinglang. Tillar soni barcha hududiy talaffuzlarni o‘zaro almashtiriladigan qilmaydi.\n\nIshlab chiqaruvchi tayyor ovozlar, kengaytirilgan ovoz kutubxonasi, yaratilgan ovoz personajlari va ovozni klonlashni qo‘llab-quvvatlaydi. Ovoz identifikatorini vaqtinchalik aktyorlik ko‘rsatmalaridan alohida tanlang. Diktorlik izchil qolishi kerak bo‘lsa, bo‘limlar davomida shu identifikator va ixcham ijro tavsifini qayta ishlating. Hujjatlashtirilgan ikki so‘zlovchili konfiguratsiyada har bir navbatga sozlangan ikkita tayyor ovozdan biriga mos aniq so‘zlovchini bering. Google qo‘llanmasi yaratilgan yoki klonlangan ovozli ko‘p qahramonli sahnalarni alohida navbatlar yaratish orqali bajaradi. Bitta diktor o‘rniga muloqotni rejalashda bu farq muhim.\n\nOddiy yakunlangan so‘rovlar uchun Google’ning 3.8 qo‘llanmasi RIFF sarlavhali, 24 kHz mono, 16 bitli ishorali little-endian PCM’ni o‘z ichiga oladigan WAV audioni belgilaydi. Oqimli konfiguratsiya esa odatiy holatda sarlavhasiz xom PCM bo‘laklarini qaytaradi; qo‘llanma xom chiziqli PCM, mu-law va A-law kodlash variantlarini ham hujjatlashtiradi. Eshitish yoki tahrirlash sozlamalarini haqiqiy chiqish formatiga moslang. Sarlavhasiz PCM fayli kengaytmasini WAV’ga almashtirish konteyner ma’lumotini qo‘shmaydi. Alohida yaratilgan navbatlarni yig‘ishda audio formatni bir xil tuting va har bir to‘liq WAV’ni o‘z sarlavhasiga ega fayl sifatida ko‘ring.\n\nAynan shu model sahifasi Gemini API chegaralarini 8,192 kirish tokeni va 16,384 chiqish tokeni deb ko‘rsatadi. Audio tokenlar nutq davomiyligini soniyalarda qat’iy belgilamaydi. Uzun materialni mazmunli bo‘limlarda tayyorlang, bir xil ovoz va uslub topshirig‘ini saqlang hamda tutashuvlarni tinglang. Bular ishlab chiqaruvchining ushbu model uchun hujjatlashtirilgan xizmat chegaralaridir; ular umumiy katalog kontekst maydonidan farqli miqdorni tavsiflaydi. Matn kirish, audio esa chiqish bo‘lgani uchun ssenariy qoralash, tarjima va transkripsiya alohida tayyorlash yoki keyingi vazifalardir.\n\nFlash-Lite Gemini 3.8 Flash TTS bilan 3.8 so‘rov tuzilmasini birga ishlatadi. Amaliy tanlov kerakli ijroga bog‘liq: Flash-Lite tez va takroriy ishlab chiqarishga yo‘naltirilgan, Flash TTS esa qiyin talaffuz, nozik aktyorlik va kengroq lahja qamrovi uchun ijodiy darajadir. Odatiy yordam maqolasi va dramatik ikki qahramonli sahna ovozga turli talablar qo‘yadi. Uni yakuniy tinglash tajribasida ishlatishdan oldin haqiqiy yozuvda tushib qolgan yoki takrorlangan so‘zlar, talaffuz, sur’at va segmentlar orasidagi eshitiladigan o‘zgarishlarni tekshiring.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "cc82b6a2f86f2033efd224e617ae7d32d8939bf5e1a9412f0e4be73e323c4f1b", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
G

Google: Gemini 3.8 Flash Lite TTS

Google /google/gemini-3.8-flash-lite-tts

Boshlash

Google Gemini 3.8 Flash-Lite TTS aniq ssenariylarni ovoz chiqarib o‘qish funksiyalari, odatiy diktorlik va katta hajmdagi og‘zaki kontent uchun nutqqa aylantiradi. U 101 til, tanlanadigan ovozlar va alohida style metama’lumotlari orqali ijroni boshqarishni, shuningdek, qisqa pauzalar va ovoz hodisalari uchun matn ichidagi teglarni qo‘llab-quvvatlaydi.

Qabul qilinadigan kirish ma’lumotlari
Matn
Natijalar
Audio
Model haqida

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

Google Gemini 3.8 Flash-Lite TTS — Google’ning 3.8 matndan nutqqa aylantirish oilasining katta hajmda ishlab chiqarishga yo‘naltirilgan a’zosi. U yozma ssenariyni qabul qiladi va og‘zaki audio yaratadi. Google uni ovoz chiqarib o‘qish funksiyalari, kundalik bir so‘zlovchili diktorlik, katta hajmdagi audio ishlab chiqarish va ovozli agent tizimlarining nutq chiqarish bosqichi uchun joylashtiradi. Foydali natija izchil ovozda o‘qilgan maqola, og‘zaki mahsulot izohi yoki qisqa o‘rgatuvchi yozuvlar to‘plami bo‘ladi. Ssenariy allaqachon tinglovchi eshitishi kerak bo‘lgan so‘zlarni o‘z ichiga olishi kerak.

3.8 oilasi transkriptni ijro ko‘rsatmalaridan ajratadi. Og‘zaki matnni so‘zma-so‘z saqlang va davomli hissiyot, sur’at, balandlik yoki ijro uslubini nutq metama’lumotlariga joylashtiring. Iliq kirish, shoshilinch ko‘rsatma va sokin yakunning har biriga o‘z navbatiga biriktirilgan qisqa uslub tavsifi berilishi mumkin. Transkript ichidagi “Quvnoq ayting” kabi matnning o‘zi o‘qilishi mumkin. So‘zlovchi nomlari eshitiladigan ssenariydagi yorliq emas, so‘zlovchi metama’lumotlariga tegishli. Bu tayyorlash, ayniqsa, Gemini 3.1 Flash TTS uchun yozilgan promptlarni qayta ishlatishda muhim.

Muayyan nuqtadagi qisqa hodisalar — nafas, kulgi, yo‘tal, xo‘rsinish yoki pauza uchun matn ichidagi burchakli qavs teglaridan foydalaning. Masalan, “Keyingi bosqich oddiy. <short pause> O‘zingiz xohlagan tilni tanlang.” transkripti kerakli pauzani u ta’sir qiladigan so‘zlar yonida saqlaydi. Davomli shivirlab ijroni hodisa teglarini qayta-qayta qo‘shish o‘rniga uslub tavsifiga kiriting. Google boshqa tillardagi ssenariylar uchun ham inglizcha teg nomlarini tavsiya qiladi. Bu boshqaruvlar ovozni yo‘naltiradi; qarsak ovozi yozuvi yoki eshikning qattiq yopilishi ovoz hodisasi tegini emas, alohida tovush ishlab chiqarishni talab qiladi.

Google ushbu nashr uchun 101 qo‘llab-quvvatlanadigan tilni, jumladan, ingliz, rus, xitoy, yapon, koreys, fransuz, nemis, ispan, indonez va vyetnam tillarini ko‘rsatadi. Yakuniy ssenariyni kerakli tilda, nomlar, qisqartmalar va raqamlarning kerakli shakli bilan yozing. Tahririy tayyorlash sifatida tinglovchi aynan bitta shaklni eshitishi shart bo‘lsa, noaniq qisqartmani yoki raqamning kerakli o‘qilishini to‘liq yozing. Uzun yozuvni tayyor deb qabul qilishdan oldin qiyin nomlar va o‘tishlar bor dastlabki parchani tinglang. Tillar soni barcha hududiy talaffuzlarni o‘zaro almashtiriladigan qilmaydi.

Ishlab chiqaruvchi tayyor ovozlar, kengaytirilgan ovoz kutubxonasi, yaratilgan ovoz personajlari va ovozni klonlashni qo‘llab-quvvatlaydi. Ovoz identifikatorini vaqtinchalik aktyorlik ko‘rsatmalaridan alohida tanlang. Diktorlik izchil qolishi kerak bo‘lsa, bo‘limlar davomida shu identifikator va ixcham ijro tavsifini qayta ishlating. Hujjatlashtirilgan ikki so‘zlovchili konfiguratsiyada har bir navbatga sozlangan ikkita tayyor ovozdan biriga mos aniq so‘zlovchini bering. Google qo‘llanmasi yaratilgan yoki klonlangan ovozli ko‘p qahramonli sahnalarni alohida navbatlar yaratish orqali bajaradi. Bitta diktor o‘rniga muloqotni rejalashda bu farq muhim.

Oddiy yakunlangan so‘rovlar uchun Google’ning 3.8 qo‘llanmasi RIFF sarlavhali, 24 kHz mono, 16 bitli ishorali little-endian PCM’ni o‘z ichiga oladigan WAV audioni belgilaydi. Oqimli konfiguratsiya esa odatiy holatda sarlavhasiz xom PCM bo‘laklarini qaytaradi; qo‘llanma xom chiziqli PCM, mu-law va A-law kodlash variantlarini ham hujjatlashtiradi. Eshitish yoki tahrirlash sozlamalarini haqiqiy chiqish formatiga moslang. Sarlavhasiz PCM fayli kengaytmasini WAV’ga almashtirish konteyner ma’lumotini qo‘shmaydi. Alohida yaratilgan navbatlarni yig‘ishda audio formatni bir xil tuting va har bir to‘liq WAV’ni o‘z sarlavhasiga ega fayl sifatida ko‘ring.

Aynan shu model sahifasi Gemini API chegaralarini 8,192 kirish tokeni va 16,384 chiqish tokeni deb ko‘rsatadi. Audio tokenlar nutq davomiyligini soniyalarda qat’iy belgilamaydi. Uzun materialni mazmunli bo‘limlarda tayyorlang, bir xil ovoz va uslub topshirig‘ini saqlang hamda tutashuvlarni tinglang. Bular ishlab chiqaruvchining ushbu model uchun hujjatlashtirilgan xizmat chegaralaridir; ular umumiy katalog kontekst maydonidan farqli miqdorni tavsiflaydi. Matn kirish, audio esa chiqish bo‘lgani uchun ssenariy qoralash, tarjima va transkripsiya alohida tayyorlash yoki keyingi vazifalardir.

Flash-Lite Gemini 3.8 Flash TTS bilan 3.8 so‘rov tuzilmasini birga ishlatadi. Amaliy tanlov kerakli ijroga bog‘liq: Flash-Lite tez va takroriy ishlab chiqarishga yo‘naltirilgan, Flash TTS esa qiyin talaffuz, nozik aktyorlik va kengroq lahja qamrovi uchun ijodiy darajadir. Odatiy yordam maqolasi va dramatik ikki qahramonli sahna ovozga turli talablar qo‘yadi. Uni yakuniy tinglash tajribasida ishlatishdan oldin haqiqiy yozuvda tushib qolgan yoki takrorlangan so‘zlar, talaffuz, sur’at va segmentlar orasidagi eshitiladigan o‘zgarishlarni tekshiring.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Nutq POST /v1/audio/speech
Kirish
text
Chiqish
audio
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
google/gemini-3.8-flash-lite-tts
Standart—
MaydoninputTurstringTalabMajburiyQiymatlar va cheklovlar
Eng kam uzunlik: 1
Standart—
MaydonvoiceTurstringTalabMajburiyQiymatlar va cheklovlar
Zephyr, Puck, Charon, Kore, Fenrir, Leda, Orus, Aoede, Callirrhoe, Autonoe, Enceladus, Iapetus, Umbriel, Algieba, Despina, Erinome, Algenib, Rasalgethi, Laomedeia, Achernar, Alnilam, Schedar, Gacrux, Pulcherrima, Achird, Zubenelgenubi, Vindemiatrix, Sadachbia, Sadaltager, Sulafat
Eng kam uzunlik: 1
Standart—
Maydonresponse_formatTurstringTalabIxtiyoriyQiymatlar va cheklovlar
mp3, pcm
Standartpcm
MaydonproviderTurobjectTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, input, voice
Parametrmaterial_typesParametr talablaritext

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

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

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

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

SozlamaTariflar jadvaliHisob birligiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifHisob birligi—To‘lov
Kirish · Kirish tokenlari — / 1K token
Chiqish · Chiqish tokenlari — / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token
Sozlamakirish tokeniTariflar jadvali—Hisob birligi/ 1K tokenTo‘lov
Kirish $0.001 / 1K token
Sozlamachiqish tokeniTariflar jadvali—Hisob birligi/ 1K tokenTo‘lov
Chiqish $0.012 / 1K token

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 · Nutq

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\n: "${AILOOT_INPUT_TEXT:?Set the actual documented input value}"\nexport AILOOT_INPUT_TEXT\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nrequest={'model': 'google/gemini-3.8-flash-lite-tts', 'input': '${ACTUAL_INPUT_TEXT}', 'voice': 'Zephyr'}\nrequest['input']=os.environ['AILOOT_INPUT_TEXT']\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/speech \\\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# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\n

Natijalarni olish va saqlash

Ailoot Ultra · Nutq

To‘liq ikkilik audio yoki dastlabki audio_url javobi, sarlavhalar va egalik qilinadigan har bir aktiv.

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
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.

Taxalluslar

Model taxalluslari

Ailoot Ultra google/gemini-3.8-flash-lite-tts

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

google/gemini-3.8-flash-lite-tts

", "method_identity": { "effective_request_model_id": "google/gemini-3.8-flash-lite-tts", "fmt": "speech", "http": "POST", "path": "/v1/audio/speech", "request_model_id": "google/gemini-3.8-flash-lite-tts", "route_label": "Ultra" }, "method_key": "Ultra|speech|/v1/audio/speech|google%2Fgemini-3.8-flash-lite-tts", "ordinal": 0, "rawMethod": { "available": null, "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": "audio", "formats": [ "mp3", "pcm" ], "result": "To‘liq ikkilik audio yoki dastlabki audio_url javobi, sarlavhalar va egalik qilinadigan har bir aktiv." }, "parameters": [ { "enum": [ "google/gemini-3.8-flash-lite-tts" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "min_length": 1, "name": "input", "required": true, "type": "string" }, { "enum": [ "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat" ], "enum_known": true, "min_length": 1, "name": "voice", "required": true, "type": "string" }, { "default": "pcm", "default_known": true, "enum": [ "mp3", "pcm" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "name": "provider", "required": false, "type": "object" } ], "request_schema": { "properties": { "input": { "minLength": 1, "type": "string" }, "model": { "enum": [ "google/gemini-3.8-flash-lite-tts" ], "type": "string" }, "provider": { "description": "Documented speech data policy and provider-specific options.", "properties": { "data_collection": { "enum": [ "allow", "deny", null ], "type": [ "string", "null" ] }, "options": { "type": "object" }, "zdr": { "type": [ "boolean", "null" ] } }, "type": "object" }, "response_format": { "default": "pcm", "enum": [ "mp3", "pcm" ], "type": "string" }, "voice": { "enum": [ "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat" ], "minLength": 1, "type": "string" } }, "required": [ "model", "input", "voice" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "input": "${ACTUAL_INPUT_TEXT}", "model": "google/gemini-3.8-flash-lite-tts", "voice": "Zephyr" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_types": [ "text" ], "required": [ "model", "input", "voice" ] }, "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/speech" }, "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": "audio", "formats": [ "mp3", "pcm" ], "result": "Complete binary audio or original audio_url response, headers and every owned asset." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_INPUT_TEXT:?Set the actual documented input value}\"\nexport AILOOT_INPUT_TEXT\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nrequest={'model': 'google/gemini-3.8-flash-lite-tts', 'input': '${ACTUAL_INPUT_TEXT}', 'voice': 'Zephyr'}\nrequest['input']=os.environ['AILOOT_INPUT_TEXT']\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/speech \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\n", "label": "Use actual input and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${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": "speech", "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": [ "text" ], "label": "Nutq", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "native_endpoint": "audio_speech", "out": null, "output": [ "audio" ], "path": "/v1/audio/speech", "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": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "input_token": 1e-06, "output_token": 1.2e-05 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "request_model_id": "google/gemini-3.8-flash-lite-tts", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } } ], "model_id": "google/gemini-3.8-flash-lite-tts", "nativeProvenance": { "input_facts_canonical_sha256": "1696a883d69ec76ac60424d1598475549d051ba92528063f831a0ab4d478f8e4", "input_html_sha256": "610d8e0c090e9d045470b86bf74a25401f50bbcd09bf00c9e5bd7e30e26d392f", "private_audit_sha256": "4fc27d3c3962dd9eb4a2f8ad94ec60503e7542a6e56b605a142f9e881796a9e4", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/google-gemini-3-8-flash-lite-tts/", "description": "Google Gemini 3.8 Flash-Lite TTS aniq ssenariylarni ovoz chiqarib o‘qish funksiyalari, odatiy diktorlik va katta hajmdagi og‘zaki kontent uchun nutqqa aylantiradi. U 101 til, tanlanadigan ovozlar va alohida style metama’lumotlari orqali ijroni boshqarishni, shuningdek, qisqa pauzalar va ovoz hodisalari uchun matn ichidagi teglarni qo‘llab-quvvatlaydi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/google-gemini-3-8-flash-lite-tts/index.md", "title": "Google: Gemini 3.8 Flash Lite TTS — Ailoot", "url": "https://ailoot.ai/models/uz/google-gemini-3-8-flash-lite-tts/" }, "rawModel": { "about": "Google Gemini 3.8 Flash-Lite TTS — Google’ning 3.8 matndan nutqqa aylantirish oilasining katta hajmda ishlab chiqarishga yo‘naltirilgan a’zosi. U yozma ssenariyni qabul qiladi va og‘zaki audio yaratadi. Google uni ovoz chiqarib o‘qish funksiyalari, kundalik bir so‘zlovchili diktorlik, katta hajmdagi audio ishlab chiqarish va ovozli agent tizimlarining nutq chiqarish bosqichi uchun joylashtiradi. Foydali natija izchil ovozda o‘qilgan maqola, og‘zaki mahsulot izohi yoki qisqa o‘rgatuvchi yozuvlar to‘plami bo‘ladi. Ssenariy allaqachon tinglovchi eshitishi kerak bo‘lgan so‘zlarni o‘z ichiga olishi kerak.\n\n3.8 oilasi transkriptni ijro ko‘rsatmalaridan ajratadi. Og‘zaki matnni so‘zma-so‘z saqlang va davomli hissiyot, sur’at, balandlik yoki ijro uslubini nutq metama’lumotlariga joylashtiring. Iliq kirish, shoshilinch ko‘rsatma va sokin yakunning har biriga o‘z navbatiga biriktirilgan qisqa uslub tavsifi berilishi mumkin. Transkript ichidagi “Quvnoq ayting” kabi matnning o‘zi o‘qilishi mumkin. So‘zlovchi nomlari eshitiladigan ssenariydagi yorliq emas, so‘zlovchi metama’lumotlariga tegishli. Bu tayyorlash, ayniqsa, Gemini 3.1 Flash TTS uchun yozilgan promptlarni qayta ishlatishda muhim.\n\nMuayyan nuqtadagi qisqa hodisalar — nafas, kulgi, yo‘tal, xo‘rsinish yoki pauza uchun matn ichidagi burchakli qavs teglaridan foydalaning. Masalan, “Keyingi bosqich oddiy. O‘zingiz xohlagan tilni tanlang.” transkripti kerakli pauzani u ta’sir qiladigan so‘zlar yonida saqlaydi. Davomli shivirlab ijroni hodisa teglarini qayta-qayta qo‘shish o‘rniga uslub tavsifiga kiriting. Google boshqa tillardagi ssenariylar uchun ham inglizcha teg nomlarini tavsiya qiladi. Bu boshqaruvlar ovozni yo‘naltiradi; qarsak ovozi yozuvi yoki eshikning qattiq yopilishi ovoz hodisasi tegini emas, alohida tovush ishlab chiqarishni talab qiladi.\n\nGoogle ushbu nashr uchun 101 qo‘llab-quvvatlanadigan tilni, jumladan, ingliz, rus, xitoy, yapon, koreys, fransuz, nemis, ispan, indonez va vyetnam tillarini ko‘rsatadi. Yakuniy ssenariyni kerakli tilda, nomlar, qisqartmalar va raqamlarning kerakli shakli bilan yozing. Tahririy tayyorlash sifatida tinglovchi aynan bitta shaklni eshitishi shart bo‘lsa, noaniq qisqartmani yoki raqamning kerakli o‘qilishini to‘liq yozing. Uzun yozuvni tayyor deb qabul qilishdan oldin qiyin nomlar va o‘tishlar bor dastlabki parchani tinglang. Tillar soni barcha hududiy talaffuzlarni o‘zaro almashtiriladigan qilmaydi.\n\nIshlab chiqaruvchi tayyor ovozlar, kengaytirilgan ovoz kutubxonasi, yaratilgan ovoz personajlari va ovozni klonlashni qo‘llab-quvvatlaydi. Ovoz identifikatorini vaqtinchalik aktyorlik ko‘rsatmalaridan alohida tanlang. Diktorlik izchil qolishi kerak bo‘lsa, bo‘limlar davomida shu identifikator va ixcham ijro tavsifini qayta ishlating. Hujjatlashtirilgan ikki so‘zlovchili konfiguratsiyada har bir navbatga sozlangan ikkita tayyor ovozdan biriga mos aniq so‘zlovchini bering. Google qo‘llanmasi yaratilgan yoki klonlangan ovozli ko‘p qahramonli sahnalarni alohida navbatlar yaratish orqali bajaradi. Bitta diktor o‘rniga muloqotni rejalashda bu farq muhim.\n\nOddiy yakunlangan so‘rovlar uchun Google’ning 3.8 qo‘llanmasi RIFF sarlavhali, 24 kHz mono, 16 bitli ishorali little-endian PCM’ni o‘z ichiga oladigan WAV audioni belgilaydi. Oqimli konfiguratsiya esa odatiy holatda sarlavhasiz xom PCM bo‘laklarini qaytaradi; qo‘llanma xom chiziqli PCM, mu-law va A-law kodlash variantlarini ham hujjatlashtiradi. Eshitish yoki tahrirlash sozlamalarini haqiqiy chiqish formatiga moslang. Sarlavhasiz PCM fayli kengaytmasini WAV’ga almashtirish konteyner ma’lumotini qo‘shmaydi. Alohida yaratilgan navbatlarni yig‘ishda audio formatni bir xil tuting va har bir to‘liq WAV’ni o‘z sarlavhasiga ega fayl sifatida ko‘ring.\n\nAynan shu model sahifasi Gemini API chegaralarini 8,192 kirish tokeni va 16,384 chiqish tokeni deb ko‘rsatadi. Audio tokenlar nutq davomiyligini soniyalarda qat’iy belgilamaydi. Uzun materialni mazmunli bo‘limlarda tayyorlang, bir xil ovoz va uslub topshirig‘ini saqlang hamda tutashuvlarni tinglang. Bular ishlab chiqaruvchining ushbu model uchun hujjatlashtirilgan xizmat chegaralaridir; ular umumiy katalog kontekst maydonidan farqli miqdorni tavsiflaydi. Matn kirish, audio esa chiqish bo‘lgani uchun ssenariy qoralash, tarjima va transkripsiya alohida tayyorlash yoki keyingi vazifalardir.\n\nFlash-Lite Gemini 3.8 Flash TTS bilan 3.8 so‘rov tuzilmasini birga ishlatadi. Amaliy tanlov kerakli ijroga bog‘liq: Flash-Lite tez va takroriy ishlab chiqarishga yo‘naltirilgan, Flash TTS esa qiyin talaffuz, nozik aktyorlik va kengroq lahja qamrovi uchun ijodiy darajadir. Odatiy yordam maqolasi va dramatik ikki qahramonli sahna ovozga turli talablar qo‘yadi. Uni yakuniy tinglash tajribasida ishlatishdan oldin haqiqiy yozuvda tushib qolgan yoki takrorlangan so‘zlar, talaffuz, sur’at va segmentlar orasidagi eshitiladigan o‘zgarishlarni tekshiring.", "alias_of": null, "aliases": [], "author": "Google", "capabilities": { "context_length": 32768, "manufacturer_input": [ "text" ], "manufacturer_output": [ "speech" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ], "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "speech" ], "id": "google/gemini-3.8-flash-lite-tts", "input": [ "text" ], "kind": "audio", "max_out": null, "methods": [ { "available": null, "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": "audio", "formats": [ "mp3", "pcm" ], "result": "To‘liq ikkilik audio yoki dastlabki audio_url javobi, sarlavhalar va egalik qilinadigan har bir aktiv." }, "parameters": [ { "enum": [ "google/gemini-3.8-flash-lite-tts" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "min_length": 1, "name": "input", "required": true, "type": "string" }, { "enum": [ "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat" ], "enum_known": true, "min_length": 1, "name": "voice", "required": true, "type": "string" }, { "default": "pcm", "default_known": true, "enum": [ "mp3", "pcm" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "name": "provider", "required": false, "type": "object" } ], "request_schema": { "properties": { "input": { "minLength": 1, "type": "string" }, "model": { "enum": [ "google/gemini-3.8-flash-lite-tts" ], "type": "string" }, "provider": { "description": "Documented speech data policy and provider-specific options.", "properties": { "data_collection": { "enum": [ "allow", "deny", null ], "type": [ "string", "null" ] }, "options": { "type": "object" }, "zdr": { "type": [ "boolean", "null" ] } }, "type": "object" }, "response_format": { "default": "pcm", "enum": [ "mp3", "pcm" ], "type": "string" }, "voice": { "enum": [ "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede", "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba", "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar", "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi", "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat" ], "minLength": 1, "type": "string" } }, "required": [ "model", "input", "voice" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "input": "${ACTUAL_INPUT_TEXT}", "model": "google/gemini-3.8-flash-lite-tts", "voice": "Zephyr" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_types": [ "text" ], "required": [ "model", "input", "voice" ] }, "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/speech" }, "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": "audio", "formats": [ "mp3", "pcm" ], "result": "Complete binary audio or original audio_url response, headers and every owned asset." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_INPUT_TEXT:?Set the actual documented input value}\"\nexport AILOOT_INPUT_TEXT\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nrequest={'model': 'google/gemini-3.8-flash-lite-tts', 'input': '${ACTUAL_INPUT_TEXT}', 'voice': 'Zephyr'}\nrequest['input']=os.environ['AILOOT_INPUT_TEXT']\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/speech \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\n", "label": "Use actual input and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${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": "speech", "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": [ "text" ], "label": "Nutq", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "native_endpoint": "audio_speech", "out": null, "output": [ "audio" ], "path": "/v1/audio/speech", "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": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "input_token": 1e-06, "output_token": 1.2e-05 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "request_model_id": "google/gemini-3.8-flash-lite-tts", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.000001", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0.012000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.000012", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "model_aliases": [ { "canonical_model_id": "google/gemini-3.8-flash-lite-tts", "request_model_id": "google/gemini-3.8-flash-lite-tts", "route_label": "Ultra" } ], "name": "Google: Gemini 3.8 Flash Lite TTS", "price": { "in": null, "in_label": null, "out": 0.012, "out_label": "/ 1K tokens", "sort_in": null, "sort_out": 0.012, "varies": true }, "short": "Google Gemini 3.8 Flash-Lite TTS aniq ssenariylarni ovoz chiqarib o‘qish funksiyalari, odatiy diktorlik va katta hajmdagi og‘zaki kontent uchun nutqqa aylantiradi. U 101 til, tanlanadigan ovozlar va alohida style metama’lumotlari orqali ijroni boshqarishni, shuningdek, qisqa pauzalar va ovoz hodisalari uchun matn ichidagi teglarni qo‘llab-quvvatlaydi." }, "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 3.8 Flash-Lite TTS aniq ssenariylarni ovoz chiqarib o‘qish funksiyalari, odatiy diktorlik va katta hajmdagi og‘zaki kontent uchun nutqqa aylantiradi. U 101 til, tanlanadigan ovozlar va alohida style metama’lumotlari orqali ijroni boshqarishni, shuningdek, qisqa pauzalar va ovoz hodisalari uchun matn ichidagi teglarni qo‘llab-quvvatlaydi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "d020d8b2b90c370673d19cf665cad6d6ef00892e365d744795906e21dc5895be", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "40bfb2ad677670fc9f584cf061c454d7d5109ae2314dd3bedd2b0cf631decaf8" }