{ "aboutHtml": "

Sintesis pantas ujaran perbualan

Speech 2.8 Turbo menggabungkan pembentukan audio pantas dengan pergerakan suara semula jadi. Pengeluar menempatkan Turbo untuk bunyi perbualan yang lancar: ujaran pendek, penjanaan suara daripada teks dan interaksi suara. Kad ini menerima teks dan mengembalikan audio pertuturan.

Ketawa, pernafasan dan kata seru

Seperti versi HD generasi ini, Turbo menyokong penanda audio Speech 2.8. Teks boleh mengandungi label ketawa, ketawa kecil, batuk, berdehem, tarikan nafas, hembusan nafas, keluhan dan bunyi pendek lain. Ketidakseragaman yang terkawal ini menjadikan ujaran menyerupai perbualan: pernafasan dan jeda yang berkait dengan kandungan muncul di dalamnya.

Penanda audio merujuk kepada kedudukan tertentu dalam teks. Label bertanda kurung yang disediakan oleh model digunakan untuk tujuan ini, contohnya (laughs) atau (breath). Penerangan kesan secara bebas bukan pengganti yang setara dengan penanda yang disokong.

Suara dan bahasa

Keluarga Speech 2.8 menyokong 40 bahasa, termasuk bahasa Rusia, serta penggunaan suara sedia ada. Pengeluar menekankan tekstur suara yang mudah dikenali, ciri pernafasan dan pengurangan herotan digital. Keupayaan pengklonan berkaitan dengan penyediaan suara berasingan yang kemudian boleh digunakan dalam sintesis.

MiniMax menyediakan pemilihan suara dan kawalan tempo, kelantangan serta pic suara. Kelajuan ditetapkan dalam julat 0,5–2, kelantangan melebihi 0 dan sehingga 10, manakala perubahan pic suara dari −12 hingga 12. Emosi boleh dibiarkan kepada model berdasarkan makna teks atau dinyatakan secara manual: kegembiraan, kesedihan, kemarahan, ketakutan, rasa jijik, kejutan atau ketenangan.

Sebutan boleh diperincikan melalui kamus penggantian dan notasi fonetik; abjad fonetik antarabangsa, pinyin Cina dan variasi bacaan Jepun disediakan. Jeda ditetapkan antara bahagian yang disebut dalam julat 0,01–99,99 saat. Tempoh jeda ditetapkan dengan ketepatan dua tempat perpuluhan; penanda diletakkan antara bahagian yang disebut dan tidak diletakkan berturut-turut. Tetapan sebegini membolehkan bunyi nama, singkatan dan perkataan dengan beberapa kemungkinan bacaan diselaraskan dengan tujuan penyampaian suara.

Output beransur-ansur dan format audio

Sintesis menerima teks kurang daripada 10 000 aksara. Bagi teks panjang melebihi 3000 aksara, pengeluar mengesyorkan output penstriman; audio siap juga boleh diterima sekali gus. Tetapan sintesis umum merangkumi MP3, PCM, FLAC, WAV, Opus dan varian G.711 μ-law, dalam mono atau stereo; set format yang tersedia bagi permintaan khusus ditentukan melalui kemudahan Ailoot.

Kelajuan Turbo ialah ciri varian model, bukannya janji kependaman tetap bagi ujaran siap. Kependaman permintaan ini secara angka tidak ditetapkan di sini. Tetapan lanjutan pengeluar yang disenaraikan memerlukan sokongan dalam kaedah akses melalui Ailoot yang dipilih.

Tetapan audio tambahan merangkumi kadar pensampelan 8, 16, 22,05, 24, 32 dan 44,1 kHz. Bagi MP3, kadar bit 32, 64, 128 atau 256 kbit/s disediakan. Warna suara juga boleh diubah dan satu kesan boleh digunakan: gema ruang luas, gema dewan, bunyi telefon atau suara robot. Kesan perubahan suara disokong bagi MP3, WAV dan FLAC apabila audio diterima sekali gus, manakala dalam output penstriman, hanya bagi MP3. Format G.711 μ-law menggunakan kadar 8 kHz. Keupayaan ini merujuk kepada tetapan sintesis MiniMax.

Pengeluar menyediakan penyegerakan pertuturan dengan teks: cap masa mengikut ayat, perkataan atau perkataan semasa output beransur-ansur. Hasil sebegini membantu menyelaraskan sebutan dengan paparan teks. Keupayaan tambahan ini memerlukan sokongan format respons yang sepadan.

", "aboutText": "### Sintesis pantas ujaran perbualan\n\nSpeech 2.8 Turbo menggabungkan pembentukan audio pantas dengan pergerakan suara semula jadi. Pengeluar menempatkan Turbo untuk bunyi perbualan yang lancar: ujaran pendek, penjanaan suara daripada teks dan interaksi suara. Kad ini menerima teks dan mengembalikan audio pertuturan.\n\n### Ketawa, pernafasan dan kata seru\n\nSeperti versi HD generasi ini, Turbo menyokong penanda audio Speech 2.8. Teks boleh mengandungi label ketawa, ketawa kecil, batuk, berdehem, tarikan nafas, hembusan nafas, keluhan dan bunyi pendek lain. Ketidakseragaman yang terkawal ini menjadikan ujaran menyerupai perbualan: pernafasan dan jeda yang berkait dengan kandungan muncul di dalamnya.\n\nPenanda audio merujuk kepada kedudukan tertentu dalam teks. Label bertanda kurung yang disediakan oleh model digunakan untuk tujuan ini, contohnya `(laughs)` atau `(breath)`. Penerangan kesan secara bebas bukan pengganti yang setara dengan penanda yang disokong.\n\n### Suara dan bahasa\n\nKeluarga Speech 2.8 menyokong **40 bahasa**, termasuk bahasa Rusia, serta penggunaan suara sedia ada. Pengeluar menekankan tekstur suara yang mudah dikenali, ciri pernafasan dan pengurangan herotan digital. Keupayaan pengklonan berkaitan dengan penyediaan suara berasingan yang kemudian boleh digunakan dalam sintesis.\n\nMiniMax menyediakan pemilihan suara dan kawalan tempo, kelantangan serta pic suara. Kelajuan ditetapkan dalam julat **0,5–2**, kelantangan melebihi 0 dan sehingga **10**, manakala perubahan pic suara dari **−12 hingga 12**. Emosi boleh dibiarkan kepada model berdasarkan makna teks atau dinyatakan secara manual: kegembiraan, kesedihan, kemarahan, ketakutan, rasa jijik, kejutan atau ketenangan.\n\nSebutan boleh diperincikan melalui kamus penggantian dan notasi fonetik; abjad fonetik antarabangsa, pinyin Cina dan variasi bacaan Jepun disediakan. Jeda ditetapkan antara bahagian yang disebut dalam julat **0,01–99,99 saat**. Tempoh jeda ditetapkan dengan ketepatan dua tempat perpuluhan; penanda diletakkan antara bahagian yang disebut dan tidak diletakkan berturut-turut. Tetapan sebegini membolehkan bunyi nama, singkatan dan perkataan dengan beberapa kemungkinan bacaan diselaraskan dengan tujuan penyampaian suara.\n\n### Output beransur-ansur dan format audio\n\nSintesis menerima teks kurang daripada **10 000 aksara**. Bagi teks panjang melebihi 3000 aksara, pengeluar mengesyorkan output penstriman; audio siap juga boleh diterima sekali gus. Tetapan sintesis umum merangkumi MP3, PCM, FLAC, WAV, Opus dan varian G.711 μ-law, dalam mono atau stereo; set format yang tersedia bagi permintaan khusus ditentukan melalui kemudahan Ailoot.\n\nKelajuan Turbo ialah ciri varian model, bukannya janji kependaman tetap bagi ujaran siap. Kependaman permintaan ini secara angka tidak ditetapkan di sini. Tetapan lanjutan pengeluar yang disenaraikan memerlukan sokongan dalam kaedah akses melalui Ailoot yang dipilih.\n\nTetapan audio tambahan merangkumi kadar pensampelan **8, 16, 22,05, 24, 32 dan 44,1 kHz**. Bagi MP3, kadar bit **32, 64, 128 atau 256 kbit/s** disediakan. Warna suara juga boleh diubah dan satu kesan boleh digunakan: gema ruang luas, gema dewan, bunyi telefon atau suara robot. Kesan perubahan suara disokong bagi MP3, WAV dan FLAC apabila audio diterima sekali gus, manakala dalam output penstriman, hanya bagi MP3. Format G.711 μ-law menggunakan kadar 8 kHz. Keupayaan ini merujuk kepada tetapan sintesis MiniMax.\n\nPengeluar menyediakan penyegerakan pertuturan dengan teks: cap masa mengikut ayat, perkataan atau perkataan semasa output beransur-ansur. Hasil sebegini membantu menyelaraskan sebutan dengan paparan teks. Keupayaan tambahan ini memerlukan sokongan format respons yang sepadan.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "fa7953999a42a5f89ea8c2366ffaecb749b5ba5d4f6c6ddf2e57fd9dd421fbc3", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "ms", "methods": [ { "html": "
MM

MiniMax: Speech 2.8 Turbo

MiniMax /minimax/speech-2.8-turbo

Pengenalan

Speech 2.8 Turbo ialah sintesis pantas pertuturan semula jadi dengan penanda audio dan kawalan keekspresifan.

Input yang diterima
Teks
Hasil
Audio
Tentang model

Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih.

Sintesis pantas ujaran perbualan

Speech 2.8 Turbo menggabungkan pembentukan audio pantas dengan pergerakan suara semula jadi. Pengeluar menempatkan Turbo untuk bunyi perbualan yang lancar: ujaran pendek, penjanaan suara daripada teks dan interaksi suara. Kad ini menerima teks dan mengembalikan audio pertuturan.

Ketawa, pernafasan dan kata seru

Seperti versi HD generasi ini, Turbo menyokong penanda audio Speech 2.8. Teks boleh mengandungi label ketawa, ketawa kecil, batuk, berdehem, tarikan nafas, hembusan nafas, keluhan dan bunyi pendek lain. Ketidakseragaman yang terkawal ini menjadikan ujaran menyerupai perbualan: pernafasan dan jeda yang berkait dengan kandungan muncul di dalamnya.

Penanda audio merujuk kepada kedudukan tertentu dalam teks. Label bertanda kurung yang disediakan oleh model digunakan untuk tujuan ini, contohnya (laughs) atau (breath). Penerangan kesan secara bebas bukan pengganti yang setara dengan penanda yang disokong.

Suara dan bahasa

Keluarga Speech 2.8 menyokong 40 bahasa, termasuk bahasa Rusia, serta penggunaan suara sedia ada. Pengeluar menekankan tekstur suara yang mudah dikenali, ciri pernafasan dan pengurangan herotan digital. Keupayaan pengklonan berkaitan dengan penyediaan suara berasingan yang kemudian boleh digunakan dalam sintesis.

MiniMax menyediakan pemilihan suara dan kawalan tempo, kelantangan serta pic suara. Kelajuan ditetapkan dalam julat 0,5–2, kelantangan melebihi 0 dan sehingga 10, manakala perubahan pic suara dari −12 hingga 12. Emosi boleh dibiarkan kepada model berdasarkan makna teks atau dinyatakan secara manual: kegembiraan, kesedihan, kemarahan, ketakutan, rasa jijik, kejutan atau ketenangan.

Sebutan boleh diperincikan melalui kamus penggantian dan notasi fonetik; abjad fonetik antarabangsa, pinyin Cina dan variasi bacaan Jepun disediakan. Jeda ditetapkan antara bahagian yang disebut dalam julat 0,01–99,99 saat. Tempoh jeda ditetapkan dengan ketepatan dua tempat perpuluhan; penanda diletakkan antara bahagian yang disebut dan tidak diletakkan berturut-turut. Tetapan sebegini membolehkan bunyi nama, singkatan dan perkataan dengan beberapa kemungkinan bacaan diselaraskan dengan tujuan penyampaian suara.

Output beransur-ansur dan format audio

Sintesis menerima teks kurang daripada 10 000 aksara. Bagi teks panjang melebihi 3000 aksara, pengeluar mengesyorkan output penstriman; audio siap juga boleh diterima sekali gus. Tetapan sintesis umum merangkumi MP3, PCM, FLAC, WAV, Opus dan varian G.711 μ-law, dalam mono atau stereo; set format yang tersedia bagi permintaan khusus ditentukan melalui kemudahan Ailoot.

Kelajuan Turbo ialah ciri varian model, bukannya janji kependaman tetap bagi ujaran siap. Kependaman permintaan ini secara angka tidak ditetapkan di sini. Tetapan lanjutan pengeluar yang disenaraikan memerlukan sokongan dalam kaedah akses melalui Ailoot yang dipilih.

Tetapan audio tambahan merangkumi kadar pensampelan 8, 16, 22,05, 24, 32 dan 44,1 kHz. Bagi MP3, kadar bit 32, 64, 128 atau 256 kbit/s disediakan. Warna suara juga boleh diubah dan satu kesan boleh digunakan: gema ruang luas, gema dewan, bunyi telefon atau suara robot. Kesan perubahan suara disokong bagi MP3, WAV dan FLAC apabila audio diterima sekali gus, manakala dalam output penstriman, hanya bagi MP3. Format G.711 μ-law menggunakan kadar 8 kHz. Keupayaan ini merujuk kepada tetapan sintesis MiniMax.

Pengeluar menyediakan penyegerakan pertuturan dengan teks: cap masa mengikut ayat, perkataan atau perkataan semasa output beransur-ansur. Hasil sebegini membantu menyelaraskan sebutan dengan paparan teks. Keupayaan tambahan ini memerlukan sokongan format respons yang sepadan.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · Penjanaan suara POST /v1/audio/speech
Input
text
Output
audio
Format output
mp3
MedanJenisKeperluanNilai & hadLalai
MedanmodelJenisstringKeperluanDiperlukanNilai & had
minimax/speech-2.8-turbo
Lalai—
MedaninputJenisstringKeperluanDiperlukanNilai & had
Panjang minimum: 1
Unit: aksara Unicode
Lalai—
MedanvoiceJenisstringKeperluanDiperlukanNilai & had
English_expressive_narrator, English_radiant_girl, English_magnetic_voiced_man, English_compelling_lady1, English_Aussie_Bloke, English_captivating_female1, English_Upbeat_Woman, English_Trustworth_Man, English_CalmWoman, English_UpsetGirl, English_Gentle-voiced_man, English_Whispering_girl, English_Diligent_Man, English_Graceful_Lady, English_ReservedYoungMan, English_PlayfulGirl, English_ManWithDeepVoice, English_MaturePartner, English_FriendlyPerson, English_MatureBoss, English_Debator, English_LovelyGirl, English_Steadymentor, English_Deep-VoicedGentleman, English_Wiselady, English_CaptivatingStoryteller, English_DecentYoungMan, English_SentimentalLady, English_ImposingManner, English_SadTeen, English_PassionateWarrior, English_WiseScholar, English_Soft-spokenGirl, English_SereneWoman, English_ConfidentWoman, English_PatientMan, English_Comedian, English_BossyLeader, English_Strong-WilledBoy, English_StressedLady, English_AssertiveQueen, English_AnimeCharacter, English_Jovialman, English_WhimsicalGirl, English_Kind-heartedGirl
Lalai—
Medanresponse_formatJenisstringKeperluanDiperlukanNilai & had
mp3
Lalai—
Gabungan bahan input

text_to_speech · Diperlukan: input

Parameter kaedah dan kitar hayat
ParameterKontrak
Parametercontent_typeKontrakapplication/json
ParameterrequiredKontrakmodel, input, voice, response_format
Parametervoice_idsKontrakEnglish_expressive_narrator, English_radiant_girl, English_magnetic_voiced_man, English_compelling_lady1, English_Aussie_Bloke, English_captivating_female1, English_Upbeat_Woman, English_Trustworth_Man, English_CalmWoman, English_UpsetGirl, English_Gentle-voiced_man, English_Whispering_girl, English_Diligent_Man, English_Graceful_Lady, English_ReservedYoungMan, English_PlayfulGirl, English_ManWithDeepVoice, English_MaturePartner, English_FriendlyPerson, English_MatureBoss, English_Debator, English_LovelyGirl, English_Steadymentor, English_Deep-VoicedGentleman, English_Wiselady, English_CaptivatingStoryteller, English_DecentYoungMan, English_SentimentalLady, English_ImposingManner, English_SadTeen, English_PassionateWarrior, English_WiseScholar, English_Soft-spokenGirl, English_SereneWoman, English_ConfidentWoman, English_PatientMan, English_Comedian, English_BossyLeader, English_Strong-WilledBoy, English_StressedLady, English_AssertiveQueen, English_AnimeCharacter, English_Jovialman, English_WhimsicalGirl, English_Kind-heartedGirl
Parameterresponse_formatKontrakmp3
Parametermax_input_charactersKontraknull
Parameterother_optionsKontrakfalse
ParameterinputKontrakteks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan
Parametermaterial_typesKontraktext

Kitar hayat: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · task_id sebenar yang dikembalikan atau rekod pustaka media

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

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Pilih suara yang tepat daripada profil model ini.

Aksara input dan saat audio ialah ukuran penggunaan yang berbeza.

Pelan harga

Rujukan tarif tidak menambah pilihan permintaan. Parameter yang disokong disenaraikan untuk kaedah yang dipilih.

Mod pantas
Tidak dinyatakan Apabila mod pantas dipilih
Mod flex
Tidak dinyatakan Apabila mod flex dipilih
Usaha penaakulan maksimum
Tidak dinyatakan Apabila usaha penaakulan maksimum menggunakan pelarasan default

Kadar Ailoot

Harga mengikut konfigurasi

Padankan setiap caj dengan syarat yang dipaparkan. Gunakan satu kadar bagi setiap set konfigurasi alternatif.

KonfigurasiJadual kadarKuantiti yang boleh dibilkanUnit pengebilanCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasKuantiti yang boleh dibilkan—Unit pengebilan—Caj
Input · Token input — / 1K token
Output · Token output — / 1K token
Input · Bacaan cache — / 1K token
Input · Penulisan cache — / 1K token
Input · Penulisan cache, 1 jam — / 1K token
KonfigurasiUltraJadual kadar—Kuantiti yang boleh dibilkanSetiap titik kod Unicode dikira sebagai satu aksara, termasuk aksara Han.Unit pengebilanbagi setiap 1K aksara masukanCaj
Input · aksara input $0.12 bagi setiap 1K aksara masukan

Butiran tarif rujukan

Jadual rujukan peringkat model tidak mengubah pemilihan kaedah, sebut harga atau caj. Caj aktif menggunakan kadar kaedah Ailoot yang dipilih.

MiniMax: Speech 2.8 Turbo

Harga mengikut konfigurasi

KonfigurasiSyarat pengebilanCaj
KonfigurasiMiniMax: Speech 2.8 Turbo · Konfigurasi lalaiSyarat pengebilanKonfigurasi lalaiCaj
Input · Aksara input USD 0.00012 bagi setiap aksara masukan

Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. Cara rizab dan penyelesaian caj berfungsi →

Contoh permintaan

Ailoot Ultra · Penjanaan suara

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\n: "${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model": "minimax/speech-2.8-turbo", "input": "Good afternoon! This is a short voice take."}')\nvoice=os.environ["AILOOT_VOICE_ID"]\nallowed=json.loads('["English_expressive_narrator", "English_radiant_girl", "English_magnetic_voiced_man", "English_compelling_lady1", "English_Aussie_Bloke", "English_captivating_female1", "English_Upbeat_Woman", "English_Trustworth_Man", "English_CalmWoman", "English_UpsetGirl", "English_Gentle-voiced_man", "English_Whispering_girl", "English_Diligent_Man", "English_Graceful_Lady", "English_ReservedYoungMan", "English_PlayfulGirl", "English_ManWithDeepVoice", "English_MaturePartner", "English_FriendlyPerson", "English_MatureBoss", "English_Debator", "English_LovelyGirl", "English_Steadymentor", "English_Deep-VoicedGentleman", "English_Wiselady", "English_CaptivatingStoryteller", "English_DecentYoungMan", "English_SentimentalLady", "English_ImposingManner", "English_SadTeen", "English_PassionateWarrior", "English_WiseScholar", "English_Soft-spokenGirl", "English_SereneWoman", "English_ConfidentWoman", "English_PatientMan", "English_Comedian", "English_BossyLeader", "English_Strong-WilledBoy", "English_StressedLady", "English_AssertiveQueen", "English_AnimeCharacter", "English_Jovialman", "English_WhimsicalGirl", "English_Kind-heartedGirl"]')\nif voice not in allowed: raise SystemExit("Choose an accepted voice ID from this exact model profile")\np["voice"]=voice\np["response_format"]="mp3"\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\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 speech.mp3\n

Terima dan simpan hasil

Ailoot Ultra · Penjanaan suara

mp3

Pembacaan kandungan lain
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 media-assets.json\n
Simpan semua hasil yang selesai

Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan.

Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.

Jika respons asal perlu disemak

Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio.

Medan respons
MedanJenis
Medanbinary audioJenisbytes
Medanresponse headersJenisheaders
Ralat dan langkah seterusnya
ResponsSyaratLangkah seterusnya
Respons400 · invalid_request_errorSyaratMedan wajib, perwakilan bahan atau nilai parameter tidak sahLangkah seterusnyaBetulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.
Responsserver_errorSyaratRespons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakanLangkah seterusnyaSimpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.

Alias

Alias model

Ailoot Ultra minimax/speech-2.8-turbo

Alias laluan kaedah

Gunakan laluan kaedah yang dipaparkan di atas.

ID pemanggil berkaitan

minimax/speech-2.8-turbo

", "method_identity": { "effective_request_model_id": "minimax/speech-2.8-turbo", "fmt": "speech", "http": "POST", "path": "/v1/audio/speech", "request_model_id": "minimax/speech-2.8-turbo", "route_label": "Ultra" }, "method_key": "Ultra|speech|/v1/audio/speech|minimax%2Fspeech-2.8-turbo", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.", "errors": [ { "code": null, "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah", "http_status": 400, "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan", "http_status": null, "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "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": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio." }, "material_combinations": [ { "content_type": "application/json", "mode": "text_to_speech", "required": [ "input" ] } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "text_to_speech" ], "outputs": { "all_results": "Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.", "family": "audio", "fields": [ { "description": null, "name": "binary audio", "type": "bytes" }, { "description": null, "name": "response headers", "type": "headers" } ], "format": "mp3", "http_success": 200 }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "minimax/speech-2.8-turbo" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "limit_known": false, "maximum_length": null, "min_length": 1, "name": "input", "required": true, "type": "string", "unit": "aksara Unicode" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "English_expressive_narrator", "English_radiant_girl", "English_magnetic_voiced_man", "English_compelling_lady1", "English_Aussie_Bloke", "English_captivating_female1", "English_Upbeat_Woman", "English_Trustworth_Man", "English_CalmWoman", "English_UpsetGirl", "English_Gentle-voiced_man", "English_Whispering_girl", "English_Diligent_Man", "English_Graceful_Lady", "English_ReservedYoungMan", "English_PlayfulGirl", "English_ManWithDeepVoice", "English_MaturePartner", "English_FriendlyPerson", "English_MatureBoss", "English_Debator", "English_LovelyGirl", "English_Steadymentor", "English_Deep-VoicedGentleman", "English_Wiselady", "English_CaptivatingStoryteller", "English_DecentYoungMan", "English_SentimentalLady", "English_ImposingManner", "English_SadTeen", "English_PassionateWarrior", "English_WiseScholar", "English_Soft-spokenGirl", "English_SereneWoman", "English_ConfidentWoman", "English_PatientMan", "English_Comedian", "English_BossyLeader", "English_Strong-WilledBoy", "English_StressedLady", "English_AssertiveQueen", "English_AnimeCharacter", "English_Jovialman", "English_WhimsicalGirl", "English_Kind-heartedGirl" ], "enum_known": true, "name": "voice", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "mp3" ], "enum_known": true, "name": "response_format", "required": true, "type": "string" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "every field outside exactmodel,input,voice,response_format", "stream/speed/reference speech options" ] }, "hints": [ "Pilih suara yang tepat daripada profil model ini.", "Aksara input dan saat audio ialah ukuran penggunaan yang berbeza." ], "input": { "content_type": "application/json", "input": "teks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan", "material_types": [ "text" ], "max_input_characters": null, "other_options": false, "required": [ "model", "input", "voice", "response_format" ], "response_format": [ "mp3" ], "voice_ids": [ "English_expressive_narrator", "English_radiant_girl", "English_magnetic_voiced_man", "English_compelling_lady1", "English_Aussie_Bloke", "English_captivating_female1", "English_Upbeat_Woman", "English_Trustworth_Man", "English_CalmWoman", "English_UpsetGirl", "English_Gentle-voiced_man", "English_Whispering_girl", "English_Diligent_Man", "English_Graceful_Lady", "English_ReservedYoungMan", "English_PlayfulGirl", "English_ManWithDeepVoice", "English_MaturePartner", "English_FriendlyPerson", "English_MatureBoss", "English_Debator", "English_LovelyGirl", "English_Steadymentor", "English_Deep-VoicedGentleman", "English_Wiselady", "English_CaptivatingStoryteller", "English_DecentYoungMan", "English_SentimentalLady", "English_ImposingManner", "English_SadTeen", "English_PassionateWarrior", "English_WiseScholar", "English_Soft-spokenGirl", "English_SereneWoman", "English_ConfidentWoman", "English_PatientMan", "English_Comedian", "English_BossyLeader", "English_Strong-WilledBoy", "English_StressedLady", "English_AssertiveQueen", "English_AnimeCharacter", "English_Jovialman", "English_WhimsicalGirl", "English_Kind-heartedGirl" ] }, "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": "task_id sebenar yang dikembalikan atau rekod pustaka media", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/audio/speech" }, "method_aliases": [], "operation_modes": [ "text_to_speech" ], "output": { "family": "audio", "format": "mp3", "http_success": 200, "response": "full binary MP3 plus response headers", "result": "complete playable owned MP3" } }, "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": { "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting", "quoted_unit": "per 1000 input character" }, "label": "Ultra", "units": [ { "amount": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } ], "declared_tariff_references": [ { "client_selectable": false, "key": "192bd3b46436eee64517", "label": "MiniMax: Speech 2.8 Turbo", "profiles": [ { "basis": "", "dimensions": { "conditions": "Konfigurasi lalai" }, "label": "MiniMax: Speech 2.8 Turbo · Konfigurasi lalai", "units": [ { "amount": "0.00012", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "key": "ac90c22c8807c6c8e538fd70", "label": "Input characters", "public_unit_label": "per input character", "quantity": "1", "rate_role": "declared_tariff_rate", "side": "in", "unit": "input_character" } ] } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"minimax/speech-2.8-turbo\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"English_expressive_narrator\", \"English_radiant_girl\", \"English_magnetic_voiced_man\", \"English_compelling_lady1\", \"English_Aussie_Bloke\", \"English_captivating_female1\", \"English_Upbeat_Woman\", \"English_Trustworth_Man\", \"English_CalmWoman\", \"English_UpsetGirl\", \"English_Gentle-voiced_man\", \"English_Whispering_girl\", \"English_Diligent_Man\", \"English_Graceful_Lady\", \"English_ReservedYoungMan\", \"English_PlayfulGirl\", \"English_ManWithDeepVoice\", \"English_MaturePartner\", \"English_FriendlyPerson\", \"English_MatureBoss\", \"English_Debator\", \"English_LovelyGirl\", \"English_Steadymentor\", \"English_Deep-VoicedGentleman\", \"English_Wiselady\", \"English_CaptivatingStoryteller\", \"English_DecentYoungMan\", \"English_SentimentalLady\", \"English_ImposingManner\", \"English_SadTeen\", \"English_PassionateWarrior\", \"English_WiseScholar\", \"English_Soft-spokenGirl\", \"English_SereneWoman\", \"English_ConfidentWoman\", \"English_PatientMan\", \"English_Comedian\", \"English_BossyLeader\", \"English_Strong-WilledBoy\", \"English_StressedLady\", \"English_AssertiveQueen\", \"English_AnimeCharacter\", \"English_Jovialman\", \"English_WhimsicalGirl\", \"English_Kind-heartedGirl\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o speech.mp3\n", "label": "curl", "language": "bash" }, { "code": "set -eu\n: \"${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 $AILOOT_API_KEY\" -o media-assets.json\n", "label": "List actual media assets", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n", "label": "Read actual media task", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n", "label": "Read actual asset metadata", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "speech", "hints": [ "Select exact voice from this model profile.", "Input characters and audio seconds are different meters." ], "http": "POST", "in": null, "input": [ "text" ], "label": "Озвучка текста", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "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": { "audio_input_character": 0.00012 } }, "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": { "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting", "quoted_unit": "per 1000 input character" }, "label": "Ultra", "units": [ { "amount": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } ], "request_model_id": "minimax/speech-2.8-turbo", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}", "GET /v1/media/assets/{asset_id}/content" ], "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": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } } ], "model_id": "minimax/speech-2.8-turbo", "nativeProvenance": { "input_facts_canonical_sha256": "5ddbfa7744e64acd6c829d7a22ef01f505eb71c918424cc9848ec58d3ad2ba1e", "input_html_sha256": "ef70fe45cc8e55be03caf065eb3530e1b755f48866dfdbff7cfb61a1597768fe", "private_audit_sha256": "ec1349e28521e2b10b2e97a59426a3dc509c2a2721e31a32ae0191c98be116f4", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/ms/minimax-speech-2-8-turbo/", "description": "Speech 2.8 Turbo ialah sintesis pantas pertuturan semula jadi dengan penanda audio dan kawalan keekspresifan.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/minimax-speech-2-8-turbo/index.md", "title": "MiniMax: Speech 2.8 Turbo — Ailoot", "url": "https://ailoot.ai/models/ms/minimax-speech-2-8-turbo/" }, "rawModel": { "about": "### Sintesis pantas ujaran perbualan\n\nSpeech 2.8 Turbo menggabungkan pembentukan audio pantas dengan pergerakan suara semula jadi. Pengeluar menempatkan Turbo untuk bunyi perbualan yang lancar: ujaran pendek, penjanaan suara daripada teks dan interaksi suara. Kad ini menerima teks dan mengembalikan audio pertuturan.\n\n### Ketawa, pernafasan dan kata seru\n\nSeperti versi HD generasi ini, Turbo menyokong penanda audio Speech 2.8. Teks boleh mengandungi label ketawa, ketawa kecil, batuk, berdehem, tarikan nafas, hembusan nafas, keluhan dan bunyi pendek lain. Ketidakseragaman yang terkawal ini menjadikan ujaran menyerupai perbualan: pernafasan dan jeda yang berkait dengan kandungan muncul di dalamnya.\n\nPenanda audio merujuk kepada kedudukan tertentu dalam teks. Label bertanda kurung yang disediakan oleh model digunakan untuk tujuan ini, contohnya `(laughs)` atau `(breath)`. Penerangan kesan secara bebas bukan pengganti yang setara dengan penanda yang disokong.\n\n### Suara dan bahasa\n\nKeluarga Speech 2.8 menyokong **40 bahasa**, termasuk bahasa Rusia, serta penggunaan suara sedia ada. Pengeluar menekankan tekstur suara yang mudah dikenali, ciri pernafasan dan pengurangan herotan digital. Keupayaan pengklonan berkaitan dengan penyediaan suara berasingan yang kemudian boleh digunakan dalam sintesis.\n\nMiniMax menyediakan pemilihan suara dan kawalan tempo, kelantangan serta pic suara. Kelajuan ditetapkan dalam julat **0,5–2**, kelantangan melebihi 0 dan sehingga **10**, manakala perubahan pic suara dari **−12 hingga 12**. Emosi boleh dibiarkan kepada model berdasarkan makna teks atau dinyatakan secara manual: kegembiraan, kesedihan, kemarahan, ketakutan, rasa jijik, kejutan atau ketenangan.\n\nSebutan boleh diperincikan melalui kamus penggantian dan notasi fonetik; abjad fonetik antarabangsa, pinyin Cina dan variasi bacaan Jepun disediakan. Jeda ditetapkan antara bahagian yang disebut dalam julat **0,01–99,99 saat**. Tempoh jeda ditetapkan dengan ketepatan dua tempat perpuluhan; penanda diletakkan antara bahagian yang disebut dan tidak diletakkan berturut-turut. Tetapan sebegini membolehkan bunyi nama, singkatan dan perkataan dengan beberapa kemungkinan bacaan diselaraskan dengan tujuan penyampaian suara.\n\n### Output beransur-ansur dan format audio\n\nSintesis menerima teks kurang daripada **10 000 aksara**. Bagi teks panjang melebihi 3000 aksara, pengeluar mengesyorkan output penstriman; audio siap juga boleh diterima sekali gus. Tetapan sintesis umum merangkumi MP3, PCM, FLAC, WAV, Opus dan varian G.711 μ-law, dalam mono atau stereo; set format yang tersedia bagi permintaan khusus ditentukan melalui kemudahan Ailoot.\n\nKelajuan Turbo ialah ciri varian model, bukannya janji kependaman tetap bagi ujaran siap. Kependaman permintaan ini secara angka tidak ditetapkan di sini. Tetapan lanjutan pengeluar yang disenaraikan memerlukan sokongan dalam kaedah akses melalui Ailoot yang dipilih.\n\nTetapan audio tambahan merangkumi kadar pensampelan **8, 16, 22,05, 24, 32 dan 44,1 kHz**. Bagi MP3, kadar bit **32, 64, 128 atau 256 kbit/s** disediakan. Warna suara juga boleh diubah dan satu kesan boleh digunakan: gema ruang luas, gema dewan, bunyi telefon atau suara robot. Kesan perubahan suara disokong bagi MP3, WAV dan FLAC apabila audio diterima sekali gus, manakala dalam output penstriman, hanya bagi MP3. Format G.711 μ-law menggunakan kadar 8 kHz. Keupayaan ini merujuk kepada tetapan sintesis MiniMax.\n\nPengeluar menyediakan penyegerakan pertuturan dengan teks: cap masa mengikut ayat, perkataan atau perkataan semasa output beransur-ansur. Hasil sebegini membantu menyelaraskan sebutan dengan paparan teks. Keupayaan tambahan ini memerlukan sokongan format respons yang sepadan.", "alias_of": null, "aliases": [], "author": "MiniMax", "available": null, "canonical_model": "minimax/speech-2.8-turbo", "capabilities": { "context_length": 0, "manufacturer_input": [ "text" ], "manufacturer_output": [ "speech" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ], "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran." } ], "ctx": null, "entity_type": "model", "formats": [ "speech" ], "id": "minimax/speech-2.8-turbo", "input": [ "text" ], "kind": "speech", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.", "errors": [ { "code": null, "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah", "http_status": 400, "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.", "type": "invalid_request_error" }, { "code": null, "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan", "http_status": null, "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.", "type": "server_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.", "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": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio." }, "material_combinations": [ { "content_type": "application/json", "mode": "text_to_speech", "required": [ "input" ] } ], "media_library": { "asset": { "fields": [ { "description": null, "name": "asset_id", "type": "string" }, { "description": null, "name": "task_id", "type": "string" }, { "description": null, "name": "output_key", "type": "string" }, { "description": null, "name": "family", "type": "string" }, { "description": null, "name": "model", "type": "string" }, { "description": null, "name": "method", "type": "string" }, { "description": null, "name": "status", "type": "string" }, { "description": null, "name": "content_type", "type": "string" }, { "description": null, "name": "sha256", "type": "string" }, { "description": null, "name": "size_bytes", "type": "integer" }, { "description": null, "name": "content_url", "type": "string" } ], "http": "GET", "id_source": "actual returned asset_id", "path": "/v1/media/assets/{asset_id}" }, "content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "range_header_supported": true, "url_source": "Use exact returned signed content_url including its token; do not construct a token." }, "expired_link": { "code": "link_expired", "http_status": 404, "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate." }, "list": { "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.", "http": "GET", "output_fields": [ { "description": null, "name": "object", "type": "string" }, { "description": null, "name": "data", "type": "asset[]" }, { "description": null, "name": "next_cursor", "type": "string|null" } ], "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "family", "required": false, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "name": "cursor", "required": false, "type": "string" }, { "availability": "source_interface", "default": 20, "default_known": true, "enum": null, "enum_known": false, "maximum": 100, "minimum": 1, "name": "limit", "required": false, "type": "integer" } ], "path": "/v1/media/assets" }, "revoke": { "http": "DELETE", "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.", "path": "/v1/media/assets/{asset_id}", "pending_status": "revoking", "success_statuses": [ 202, 204 ] }, "task": { "http": "GET", "id_source": "actual returned task_id or media library record; operation_id is not task_id", "path": "/v1/media/tasks/{task_id}" } }, "operation_modes": [ "text_to_speech" ], "outputs": { "all_results": "Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.", "family": "audio", "fields": [ { "description": null, "name": "binary audio", "type": "bytes" }, { "description": null, "name": "response headers", "type": "headers" } ], "format": "mp3", "http_success": 200 }, "parameters": [ { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "minimax/speech-2.8-turbo" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": null, "enum_known": false, "limit_known": false, "maximum_length": null, "min_length": 1, "name": "input", "required": true, "type": "string", "unit": "aksara Unicode" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "English_expressive_narrator", "English_radiant_girl", "English_magnetic_voiced_man", "English_compelling_lady1", "English_Aussie_Bloke", "English_captivating_female1", "English_Upbeat_Woman", "English_Trustworth_Man", "English_CalmWoman", "English_UpsetGirl", "English_Gentle-voiced_man", "English_Whispering_girl", "English_Diligent_Man", "English_Graceful_Lady", "English_ReservedYoungMan", "English_PlayfulGirl", "English_ManWithDeepVoice", "English_MaturePartner", "English_FriendlyPerson", "English_MatureBoss", "English_Debator", "English_LovelyGirl", "English_Steadymentor", "English_Deep-VoicedGentleman", "English_Wiselady", "English_CaptivatingStoryteller", "English_DecentYoungMan", "English_SentimentalLady", "English_ImposingManner", "English_SadTeen", "English_PassionateWarrior", "English_WiseScholar", "English_Soft-spokenGirl", "English_SereneWoman", "English_ConfidentWoman", "English_PatientMan", "English_Comedian", "English_BossyLeader", "English_Strong-WilledBoy", "English_StressedLady", "English_AssertiveQueen", "English_AnimeCharacter", "English_Jovialman", "English_WhimsicalGirl", "English_Kind-heartedGirl" ], "enum_known": true, "name": "voice", "required": true, "type": "string" }, { "availability": "source_interface", "default": null, "default_known": false, "enum": [ "mp3" ], "enum_known": true, "name": "response_format", "required": true, "type": "string" } ], "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.", "unsupported": [ "every field outside exactmodel,input,voice,response_format", "stream/speed/reference speech options" ] }, "hints": [ "Pilih suara yang tepat daripada profil model ini.", "Aksara input dan saat audio ialah ukuran penggunaan yang berbeza." ], "input": { "content_type": "application/json", "input": "teks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan", "material_types": [ "text" ], "max_input_characters": null, "other_options": false, "required": [ "model", "input", "voice", "response_format" ], "response_format": [ "mp3" ], "voice_ids": [ "English_expressive_narrator", "English_radiant_girl", "English_magnetic_voiced_man", "English_compelling_lady1", "English_Aussie_Bloke", "English_captivating_female1", "English_Upbeat_Woman", "English_Trustworth_Man", "English_CalmWoman", "English_UpsetGirl", "English_Gentle-voiced_man", "English_Whispering_girl", "English_Diligent_Man", "English_Graceful_Lady", "English_ReservedYoungMan", "English_PlayfulGirl", "English_ManWithDeepVoice", "English_MaturePartner", "English_FriendlyPerson", "English_MatureBoss", "English_Debator", "English_LovelyGirl", "English_Steadymentor", "English_Deep-VoicedGentleman", "English_Wiselady", "English_CaptivatingStoryteller", "English_DecentYoungMan", "English_SentimentalLady", "English_ImposingManner", "English_SadTeen", "English_PassionateWarrior", "English_WiseScholar", "English_Soft-spokenGirl", "English_SereneWoman", "English_ConfidentWoman", "English_PatientMan", "English_Comedian", "English_BossyLeader", "English_Strong-WilledBoy", "English_StressedLady", "English_AssertiveQueen", "English_AnimeCharacter", "English_Jovialman", "English_WhimsicalGirl", "English_Kind-heartedGirl" ] }, "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": "task_id sebenar yang dikembalikan atau rekod pustaka media", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route." }, "manufacturer_capability": null, "method": { "http": "POST", "path": "/v1/audio/speech" }, "method_aliases": [], "operation_modes": [ "text_to_speech" ], "output": { "family": "audio", "format": "mp3", "http_success": 200, "response": "full binary MP3 plus response headers", "result": "complete playable owned MP3" } }, "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": { "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting", "quoted_unit": "per 1000 input character" }, "label": "Ultra", "units": [ { "amount": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } ], "declared_tariff_references": [ { "client_selectable": false, "key": "192bd3b46436eee64517", "label": "MiniMax: Speech 2.8 Turbo", "profiles": [ { "basis": "", "dimensions": { "conditions": "Konfigurasi lalai" }, "label": "MiniMax: Speech 2.8 Turbo · Konfigurasi lalai", "units": [ { "amount": "0.00012", "amount_unit": "usd_per_exact_physical_unit", "billing_input": false, "key": "ac90c22c8807c6c8e538fd70", "label": "Input characters", "public_unit_label": "per input character", "quantity": "1", "rate_role": "declared_tariff_rate", "side": "in", "unit": "input_character" } ] } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"minimax/speech-2.8-turbo\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"English_expressive_narrator\", \"English_radiant_girl\", \"English_magnetic_voiced_man\", \"English_compelling_lady1\", \"English_Aussie_Bloke\", \"English_captivating_female1\", \"English_Upbeat_Woman\", \"English_Trustworth_Man\", \"English_CalmWoman\", \"English_UpsetGirl\", \"English_Gentle-voiced_man\", \"English_Whispering_girl\", \"English_Diligent_Man\", \"English_Graceful_Lady\", \"English_ReservedYoungMan\", \"English_PlayfulGirl\", \"English_ManWithDeepVoice\", \"English_MaturePartner\", \"English_FriendlyPerson\", \"English_MatureBoss\", \"English_Debator\", \"English_LovelyGirl\", \"English_Steadymentor\", \"English_Deep-VoicedGentleman\", \"English_Wiselady\", \"English_CaptivatingStoryteller\", \"English_DecentYoungMan\", \"English_SentimentalLady\", \"English_ImposingManner\", \"English_SadTeen\", \"English_PassionateWarrior\", \"English_WiseScholar\", \"English_Soft-spokenGirl\", \"English_SereneWoman\", \"English_ConfidentWoman\", \"English_PatientMan\", \"English_Comedian\", \"English_BossyLeader\", \"English_Strong-WilledBoy\", \"English_StressedLady\", \"English_AssertiveQueen\", \"English_AnimeCharacter\", \"English_Jovialman\", \"English_WhimsicalGirl\", \"English_Kind-heartedGirl\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o speech.mp3\n", "label": "curl", "language": "bash" }, { "code": "set -eu\n: \"${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 $AILOOT_API_KEY\" -o media-assets.json\n", "label": "List actual media assets", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n", "label": "Read actual media task", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n", "label": "Read actual asset metadata", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "speech", "hints": [ "Select exact voice from this model profile.", "Input characters and audio seconds are different meters." ], "http": "POST", "in": null, "input": [ "text" ], "label": "Озвучка текста", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "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": { "audio_input_character": 0.00012 } }, "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": { "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting", "quoted_unit": "per 1000 input character" }, "label": "Ultra", "units": [ { "amount": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } ], "request_model_id": "minimax/speech-2.8-turbo", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}", "GET /v1/media/assets/{asset_id}/content" ], "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": "0.12000", "amount_unit": "usd_per_1000_characters", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00012", "native_quantity": 1, "public_unit_label": "per 1000 input character", "quantity": "1000", "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_character" } ] } ], "model_aliases": [ { "canonical_model_id": "minimax/speech-2.8-turbo", "request_model_id": "minimax/speech-2.8-turbo", "route_label": "Ultra" } ], "name": "MiniMax: Speech 2.8 Turbo", "price": { "in": null, "in_label": null, "out": null, "out_label": null, "sort_in": null, "sort_out": null, "varies": true }, "pricing_profiles": [ { "applicability": { "client_selectable": false, "native_profile_selection_pending": true, "scope": "manufacturer_reference" }, "dimensions": { "async_max_input_characters": null, "not_tokens": true, "quoted_denominator": "1000000_characters" }, "label": "Ultra", "units": [ { "amount": "0.00012", "amount_unit": "usd_per_input_character", "conditions": { "async_max_input_characters": null, "not_tokens": true, "quoted_denominator": "1000000_characters" }, "key": "base", "label": "base", "profile_index": 0, "quantity": "1", "rate_role": "binding_component_rate", "side": "in", "unit": "input_character" } ] }, { "applicability": { "client_selectable": false, "native_profile_selection_pending": true, "scope": "manufacturer_reference" }, "dimensions": { "async_max_input_characters": 1000000, "not_tokens": true, "quoted_denominator": "1000000_characters" }, "label": "Ultra", "units": [ { "amount": "0.00012", "amount_unit": "usd_per_input_character", "conditions": { "async_max_input_characters": 1000000, "not_tokens": true, "quoted_denominator": "1000000_characters" }, "key": "base", "label": "base", "profile_index": 1, "quantity": "1", "rate_role": "binding_component_rate", "side": "in", "unit": "input_character" } ] }, { "applicability": { "client_selectable": false, "native_profile_selection_pending": true, "scope": "manufacturer_reference" }, "dimensions": { "charge_at_design_or_clone_creation": false, "charge_at_first_synthesis": true, "charge_once_per_voice_across_synthesis_calls": true, "event": "designed_voice_first_synthesis", "plus_synthesis_characters": true }, "label": "Ultra", "units": [ { "amount": "6", "amount_unit": "usd_per_voice", "conditions": { "charge_at_design_or_clone_creation": false, "charge_at_first_synthesis": true, "charge_once_per_voice_across_synthesis_calls": true, "event": "designed_voice_first_synthesis", "plus_synthesis_characters": true }, "key": "designed_voice_first_synthesis", "label": "designed voice first synthesis", "profile_index": 2, "quantity": "1", "rate_role": "binding_component_rate", "side": "out", "unit": "voice" } ] }, { "applicability": { "client_selectable": false, "native_profile_selection_pending": true, "scope": "manufacturer_reference" }, "dimensions": { "charge_at_design_or_clone_creation": false, "charge_at_first_synthesis": true, "charge_once_per_voice_across_synthesis_calls": true, "event": "cloned_voice_first_synthesis", "plus_synthesis_characters": true }, "label": "Ultra", "units": [ { "amount": "3.0", "amount_unit": "usd_per_voice", "conditions": { "charge_at_design_or_clone_creation": false, "charge_at_first_synthesis": true, "charge_once_per_voice_across_synthesis_calls": true, "event": "cloned_voice_first_synthesis", "plus_synthesis_characters": true }, "key": "cloned_voice_first_synthesis", "label": "cloned voice first synthesis", "profile_index": 3, "quantity": "1", "rate_role": "binding_component_rate", "side": "out", "unit": "voice" } ] } ], "public_id": "minimax/speech-2.8-turbo", "short": "Speech 2.8 Turbo ialah sintesis pantas pertuturan semula jadi dengan penanda audio dan kawalan keekspresifan." }, "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": "Speech 2.8 Turbo ialah sintesis pantas pertuturan semula jadi dengan penanda audio dan kawalan keekspresifan.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "e39c1088fefc169af1e68e6901708baf4b6e725ed325cb07e06e364a53734d4b", "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460" }, "sourceRevision": "e32050db00394f4f05ec7f4221ffd463c507328f1ac5bf45e78d46f173797d63" }