{ "aboutHtml": "

MiniMax Speech 01 Turbo menukar teks yang dibekalkan menjadi audio pertuturan. ID model Ailoot yang tepat ialah minimax/speech-01-turbo, dan pemilih sintesis yang didokumenkan ialah speech-01-turbo. Gunakan kaedah audio_speech untuk suara latar, pelajaran lisan, penerangan produk atau draf narasi yang kata-katanya sudah anda sediakan. Inputnya ialah petikan untuk dibaca, dan hasilnya ialah pertuturan sintesis dalam format audio yang dipilih.

Sediakan teks sebagai perkataan yang dimaksudkan untuk dituturkan, dengan tanda baca yang mencerminkan ungkapan. Untuk draf narasi, bekalkan urutan ayat yang telah dimuktamadkan dan ejaan nama sebelum memilih tetapan suara. Asingkan arahan pentas daripada petikan lisan melainkan perkataan itu memang perlu ada dalam rakaman. Dengar nama, nombor dan peralihan yang penting dalam hasil dan bandingkannya dengan teks sumber.

Teks mestilah lebih pendek daripada 10,000 aksara. Kontrak sintesis yang diterbitkan memerlukan model dan text. Untuk bahan yang lebih panjang, sediakan petikan dalam had itu dan simpan urutannya untuk penyuntingan. Profil segerak menggunakan balasan lengkap, dengan stream=false sebagai nilai lalai yang didokumenkan. API umum turut menerangkan pilihan penstriman, tetapi kaedah yang dipilih bagi kad ini ialah aliran kerja pertuturan segerak.

voice_setting memilih voice_id yang tersedia serta mengawal speed, vol dan pitch. Julat speed yang didokumenkan ialah 0.5–2, dengan 1 sebagai nilai lalai. vol mestilah melebihi 0 dan paling banyak 10, dengan 1 sebagai nilai lalai; pitch ialah integer dari -12 hingga 12, dengan 0 sebagai nilai lalai. Pastikan setiap tetapan memenuhi keperluan petikan: bandingkan kelajuan bacaan dan kejelasan bunyi rakaman sebenar, dan bukannya menganggap perubahan angka menghasilkan persembahan tertentu.

Nilai emotion yang didokumenkan ialah happy, sad, angry, fearful, disgusted, surprised, calm dan fluent. Teks juga boleh membimbing emosi model. text_normalization ialah kawalan boolean berasingan untuk persediaan bacaan nombor bahasa Cina dan Inggeris, dan latex_read mengawal bacaan formula LaTeX; kedua-duanya mempunyai nilai lalai false. pronunciation_dict.tone boleh memuatkan peraturan penggantian sebutan yang didokumenkan. Semak nama atau ungkapan khusus dalam audio yang terhasil sebelum menggunakannya dalam narasi yang lebih panjang.

audio_setting.format menerima mp3, pcm, flac atau wav, dengan mp3 sebagai nilai lalai. sample_rate menerima 8000, 16000, 22050, 24000, 32000 atau 44100 dan mempunyai nilai lalai 32000. bitrate menerima 32000, 64000, 128000 atau 256000, mempunyai nilai lalai 128000 dan terpakai pada MP3. channel memilih 1 untuk mono atau 2 untuk stereo, dengan 1 sebagai nilai lalai. Simpan pilihan ini bersama petikan sumber supaya fail yang dikembalikan boleh disemak untuk destinasi penyuntingan atau main balik yang dikehendaki.

Kawalan tambahan yang didokumenkan merangkumi language_boost, yang pilihan nama tepatnya termasuk English, Russian, Chinese dan Chinese,Yue; pilih nilai sebenar yang disenaraikan untuk petikan tersebut. timber_weights boleh menggabungkan entri voice_id sedia ada dengan nilai weight integer dari 1 hingga 100. Nilai sound_effects yang diterbitkan ialah spacious_echo, auditorium_echo, lofi_telephone dan robotic. Ini ialah kawalan pilihan untuk membentuk suara terpilih; rekodkan tetapan sebenar apabila membandingkan bacaan.

Hasil segerak mengandungi pertuturan terjana. output_format memilih url atau hex dan mempunyai nilai lalai hex dalam skema sintesis. Muat turun fail yang dirujuk oleh hasil URL, atau nyahkod hasil hex menjadi bait audio sebelum main balik. Simpan metadata audio yang dikembalikan, termasuk format, kadar sampel, bilangan saluran dan saiznya, bersama rakaman. subtitle_enable mempunyai nilai lalai false dan hanya terpakai pada output tanpa penstriman apabila diaktifkan; sumber tidak menetapkan format fail sari kata untuk profil ini.

Simpan petikan sumber, ID model tepat, pilihan suara dan rakaman yang telah siap bersama. Semak keseluruhan bacaan dari segi kata-kata yang dikehendaki, jeda dan tetapan penyampaian yang dipilih sebelum meletakkannya dalam video, pelajaran atau panduan lisan. Jika balasan tidak lengkap, simpan identiti permintaan asal dan maklumat yang dikembalikan untuk penyelarasan sebelum meminta rakaman lain. Pindaan kemudian boleh mengubah frasa atau tetapan suara tertentu sambil mengekalkan skrip yang lain untuk perbandingan yang jelas.

", "aboutText": "MiniMax Speech 01 Turbo menukar teks yang dibekalkan menjadi audio pertuturan. ID model Ailoot yang tepat ialah minimax/speech-01-turbo, dan pemilih sintesis yang didokumenkan ialah speech-01-turbo. Gunakan kaedah audio_speech untuk suara latar, pelajaran lisan, penerangan produk atau draf narasi yang kata-katanya sudah anda sediakan. Inputnya ialah petikan untuk dibaca, dan hasilnya ialah pertuturan sintesis dalam format audio yang dipilih.\n\nSediakan teks sebagai perkataan yang dimaksudkan untuk dituturkan, dengan tanda baca yang mencerminkan ungkapan. Untuk draf narasi, bekalkan urutan ayat yang telah dimuktamadkan dan ejaan nama sebelum memilih tetapan suara. Asingkan arahan pentas daripada petikan lisan melainkan perkataan itu memang perlu ada dalam rakaman. Dengar nama, nombor dan peralihan yang penting dalam hasil dan bandingkannya dengan teks sumber.\n\nTeks mestilah lebih pendek daripada 10,000 aksara. Kontrak sintesis yang diterbitkan memerlukan model dan text. Untuk bahan yang lebih panjang, sediakan petikan dalam had itu dan simpan urutannya untuk penyuntingan. Profil segerak menggunakan balasan lengkap, dengan stream=false sebagai nilai lalai yang didokumenkan. API umum turut menerangkan pilihan penstriman, tetapi kaedah yang dipilih bagi kad ini ialah aliran kerja pertuturan segerak.\n\nvoice_setting memilih voice_id yang tersedia serta mengawal speed, vol dan pitch. Julat speed yang didokumenkan ialah 0.5–2, dengan 1 sebagai nilai lalai. vol mestilah melebihi 0 dan paling banyak 10, dengan 1 sebagai nilai lalai; pitch ialah integer dari -12 hingga 12, dengan 0 sebagai nilai lalai. Pastikan setiap tetapan memenuhi keperluan petikan: bandingkan kelajuan bacaan dan kejelasan bunyi rakaman sebenar, dan bukannya menganggap perubahan angka menghasilkan persembahan tertentu.\n\nNilai emotion yang didokumenkan ialah happy, sad, angry, fearful, disgusted, surprised, calm dan fluent. Teks juga boleh membimbing emosi model. text_normalization ialah kawalan boolean berasingan untuk persediaan bacaan nombor bahasa Cina dan Inggeris, dan latex_read mengawal bacaan formula LaTeX; kedua-duanya mempunyai nilai lalai false. pronunciation_dict.tone boleh memuatkan peraturan penggantian sebutan yang didokumenkan. Semak nama atau ungkapan khusus dalam audio yang terhasil sebelum menggunakannya dalam narasi yang lebih panjang.\n\naudio_setting.format menerima mp3, pcm, flac atau wav, dengan mp3 sebagai nilai lalai. sample_rate menerima 8000, 16000, 22050, 24000, 32000 atau 44100 dan mempunyai nilai lalai 32000. bitrate menerima 32000, 64000, 128000 atau 256000, mempunyai nilai lalai 128000 dan terpakai pada MP3. channel memilih 1 untuk mono atau 2 untuk stereo, dengan 1 sebagai nilai lalai. Simpan pilihan ini bersama petikan sumber supaya fail yang dikembalikan boleh disemak untuk destinasi penyuntingan atau main balik yang dikehendaki.\n\nKawalan tambahan yang didokumenkan merangkumi language_boost, yang pilihan nama tepatnya termasuk English, Russian, Chinese dan Chinese,Yue; pilih nilai sebenar yang disenaraikan untuk petikan tersebut. timber_weights boleh menggabungkan entri voice_id sedia ada dengan nilai weight integer dari 1 hingga 100. Nilai sound_effects yang diterbitkan ialah spacious_echo, auditorium_echo, lofi_telephone dan robotic. Ini ialah kawalan pilihan untuk membentuk suara terpilih; rekodkan tetapan sebenar apabila membandingkan bacaan.\n\nHasil segerak mengandungi pertuturan terjana. output_format memilih url atau hex dan mempunyai nilai lalai hex dalam skema sintesis. Muat turun fail yang dirujuk oleh hasil URL, atau nyahkod hasil hex menjadi bait audio sebelum main balik. Simpan metadata audio yang dikembalikan, termasuk format, kadar sampel, bilangan saluran dan saiznya, bersama rakaman. subtitle_enable mempunyai nilai lalai false dan hanya terpakai pada output tanpa penstriman apabila diaktifkan; sumber tidak menetapkan format fail sari kata untuk profil ini.\n\nSimpan petikan sumber, ID model tepat, pilihan suara dan rakaman yang telah siap bersama. Semak keseluruhan bacaan dari segi kata-kata yang dikehendaki, jeda dan tetapan penyampaian yang dipilih sebelum meletakkannya dalam video, pelajaran atau panduan lisan. Jika balasan tidak lengkap, simpan identiti permintaan asal dan maklumat yang dikembalikan untuk penyelarasan sebelum meminta rakaman lain. Pindaan kemudian boleh mengubah frasa atau tetapan suara tertentu sambil mengekalkan skrip yang lain untuk perbandingan yang jelas.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "8e4554ef23136f7304c0354de89d1a7d72277bf89d87ca98dacca3521f5261c6", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "ms", "methods": [ { "html": "
MM

MiniMax: Speech 01 Turbo

MiniMax /minimax/speech-01-turbo

Pengenalan

MiniMax Speech 01 Turbo membaca teks yang dibekalkan sebagai pertuturan terjana melalui permintaan audio_speech segerak. Ia menerima teks yang lebih pendek daripada 10,000 aksara dan menawarkan tetapan suara, kelajuan dan pic dengan output MP3, PCM, FLAC atau WAV.

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.

MiniMax Speech 01 Turbo menukar teks yang dibekalkan menjadi audio pertuturan. ID model Ailoot yang tepat ialah minimax/speech-01-turbo, dan pemilih sintesis yang didokumenkan ialah speech-01-turbo. Gunakan kaedah audio_speech untuk suara latar, pelajaran lisan, penerangan produk atau draf narasi yang kata-katanya sudah anda sediakan. Inputnya ialah petikan untuk dibaca, dan hasilnya ialah pertuturan sintesis dalam format audio yang dipilih.

Sediakan teks sebagai perkataan yang dimaksudkan untuk dituturkan, dengan tanda baca yang mencerminkan ungkapan. Untuk draf narasi, bekalkan urutan ayat yang telah dimuktamadkan dan ejaan nama sebelum memilih tetapan suara. Asingkan arahan pentas daripada petikan lisan melainkan perkataan itu memang perlu ada dalam rakaman. Dengar nama, nombor dan peralihan yang penting dalam hasil dan bandingkannya dengan teks sumber.

Teks mestilah lebih pendek daripada 10,000 aksara. Kontrak sintesis yang diterbitkan memerlukan model dan text. Untuk bahan yang lebih panjang, sediakan petikan dalam had itu dan simpan urutannya untuk penyuntingan. Profil segerak menggunakan balasan lengkap, dengan stream=false sebagai nilai lalai yang didokumenkan. API umum turut menerangkan pilihan penstriman, tetapi kaedah yang dipilih bagi kad ini ialah aliran kerja pertuturan segerak.

voice_setting memilih voice_id yang tersedia serta mengawal speed, vol dan pitch. Julat speed yang didokumenkan ialah 0.5–2, dengan 1 sebagai nilai lalai. vol mestilah melebihi 0 dan paling banyak 10, dengan 1 sebagai nilai lalai; pitch ialah integer dari -12 hingga 12, dengan 0 sebagai nilai lalai. Pastikan setiap tetapan memenuhi keperluan petikan: bandingkan kelajuan bacaan dan kejelasan bunyi rakaman sebenar, dan bukannya menganggap perubahan angka menghasilkan persembahan tertentu.

Nilai emotion yang didokumenkan ialah happy, sad, angry, fearful, disgusted, surprised, calm dan fluent. Teks juga boleh membimbing emosi model. text_normalization ialah kawalan boolean berasingan untuk persediaan bacaan nombor bahasa Cina dan Inggeris, dan latex_read mengawal bacaan formula LaTeX; kedua-duanya mempunyai nilai lalai false. pronunciation_dict.tone boleh memuatkan peraturan penggantian sebutan yang didokumenkan. Semak nama atau ungkapan khusus dalam audio yang terhasil sebelum menggunakannya dalam narasi yang lebih panjang.

audio_setting.format menerima mp3, pcm, flac atau wav, dengan mp3 sebagai nilai lalai. sample_rate menerima 8000, 16000, 22050, 24000, 32000 atau 44100 dan mempunyai nilai lalai 32000. bitrate menerima 32000, 64000, 128000 atau 256000, mempunyai nilai lalai 128000 dan terpakai pada MP3. channel memilih 1 untuk mono atau 2 untuk stereo, dengan 1 sebagai nilai lalai. Simpan pilihan ini bersama petikan sumber supaya fail yang dikembalikan boleh disemak untuk destinasi penyuntingan atau main balik yang dikehendaki.

Kawalan tambahan yang didokumenkan merangkumi language_boost, yang pilihan nama tepatnya termasuk English, Russian, Chinese dan Chinese,Yue; pilih nilai sebenar yang disenaraikan untuk petikan tersebut. timber_weights boleh menggabungkan entri voice_id sedia ada dengan nilai weight integer dari 1 hingga 100. Nilai sound_effects yang diterbitkan ialah spacious_echo, auditorium_echo, lofi_telephone dan robotic. Ini ialah kawalan pilihan untuk membentuk suara terpilih; rekodkan tetapan sebenar apabila membandingkan bacaan.

Hasil segerak mengandungi pertuturan terjana. output_format memilih url atau hex dan mempunyai nilai lalai hex dalam skema sintesis. Muat turun fail yang dirujuk oleh hasil URL, atau nyahkod hasil hex menjadi bait audio sebelum main balik. Simpan metadata audio yang dikembalikan, termasuk format, kadar sampel, bilangan saluran dan saiznya, bersama rakaman. subtitle_enable mempunyai nilai lalai false dan hanya terpakai pada output tanpa penstriman apabila diaktifkan; sumber tidak menetapkan format fail sari kata untuk profil ini.

Simpan petikan sumber, ID model tepat, pilihan suara dan rakaman yang telah siap bersama. Semak keseluruhan bacaan dari segi kata-kata yang dikehendaki, jeda dan tetapan penyampaian yang dipilih sebelum meletakkannya dalam video, pelajaran atau panduan lisan. Jika balasan tidak lengkap, simpan identiti permintaan asal dan maklumat yang dikembalikan untuk penyelarasan sebelum meminta rakaman lain. Pindaan kemudian boleh mengubah frasa atau tetapan suara tertentu sambil mengekalkan skrip yang lain untuk perbandingan yang jelas.

Tersedia di Ailoot · input & kaedah

Ailoot Ultra · Speech POST /v1/audio/speech
Input
text
Output
audio
Format output
mp3,pcm,flac,wav
MedanJenisKeperluanNilai & hadLalai
MedanmodelJenisstringKeperluanDiperlukanNilai & had
minimax/speech-01-turbo
Lalai—
MedantextJenisstringKeperluanDiperlukanNilai & hadLalai—
MedanstreamJenisbooleanKeperluanPilihanNilai & had
false
Lalaifalse
Medanvoice_settingJenisobjectKeperluanPilihanNilai & hadLalai—
Medanvoice_setting.voice_idJenisstringKeperluanPilihanNilai & hadLalai—
Medanvoice_setting.speedJenisnumberKeperluanPilihanNilai & had
Minimum: 0.5
Maksimum: 2
Lalai1
Medanvoice_setting.volJenisnumberKeperluanPilihanNilai & had
Minimum: 0
Maksimum: 10
Lalai1
Medanvoice_setting.pitchJenisintegerKeperluanPilihanNilai & had
Minimum: -12
Maksimum: 12
Lalai0
Medanvoice_setting.emotionJenisstringKeperluanPilihanNilai & had
happy, sad, angry, fearful, disgusted, surprised, calm, fluent
Lalai—
Medanvoice_setting.text_normalizationJenisbooleanKeperluanPilihanNilai & hadLalaifalse
Medanvoice_setting.latex_readJenisbooleanKeperluanPilihanNilai & hadLalaifalse
Medanaudio_settingJenisobjectKeperluanPilihanNilai & hadLalai—
Medanaudio_setting.sample_rateJenisintegerKeperluanPilihanNilai & had
8,000, 16,000, 22,050, 24,000, 32,000, 44,100
Lalai32,000
Medanaudio_setting.bitrateJenisintegerKeperluanPilihanNilai & had
32,000, 64,000, 128,000, 256,000
Lalai128,000
Medanaudio_setting.formatJenisstringKeperluanPilihanNilai & had
mp3, pcm, flac, wav
Lalaimp3
Medanaudio_setting.channelJenisintegerKeperluanPilihanNilai & had
1, 2
Lalai1
Medanaudio_setting.force_cbrJenisbooleanKeperluanPilihanNilai & hadLalaifalse
Medanpronunciation_dictJenisobjectKeperluanPilihanNilai & hadLalai—
Medanpronunciation_dict.toneJenisarrayKeperluanPilihanNilai & hadLalai—
Medantimber_weightsJenisarrayKeperluanPilihanNilai & hadLalai—
Medanlanguage_boostJenisstringKeperluanPilihanNilai & had
Chinese, Chinese,Yue, English, Arabic, Russian, Spanish, French, Portuguese, German, Turkish, Dutch, Ukrainian, Vietnamese, Indonesian, Japanese, Italian, Korean, Thai, Polish, Romanian, Greek, Czech, Finnish, Hindi, Bulgarian, Danish, Hebrew, Malay, Persian, Slovak, Swedish, Croatian, Filipino, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Tamil, Afrikaans, auto
Lalai—
Medanvoice_modifyJenisobjectKeperluanPilihanNilai & hadLalai—
Medanvoice_modify.pitchJenisintegerKeperluanPilihanNilai & had
-100, 100
Lalai—
Medanvoice_modify.intensityJenisintegerKeperluanPilihanNilai & had
-100, 100
Lalai—
Medanvoice_modify.timbreJenisintegerKeperluanPilihanNilai & had
-100, 100
Lalai—
Medanvoice_modify.sound_effectsJenisstringKeperluanPilihanNilai & had
spacious_echo, auditorium_echo, lofi_telephone, robotic
Lalai—
Medansubtitle_enableJenisbooleanKeperluanPilihanNilai & hadLalaifalse
Medanoutput_formatJenisstringKeperluanPilihanNilai & had
url, hex
Lalaihex
Medanaigc_watermarkJenisbooleanKeperluanPilihanNilai & hadLalaifalse
Parameter kaedah dan kitar hayat
ParameterKontrak
Parametercontent_typeKontrakapplication/json
ParameterrequiredKontrakmodel, text
ParameteroptionalKontrakstream, voice_setting, audio_setting, pronunciation_dict, timber_weights, language_boost, voice_modify, subtitle_enable, output_format, aigc_watermark
Parametermaterial_typesKontraktext
ParameterconditionsKontrakUse text, not input or contents. Fewer than 10000 Unicode characters; stream is false or omitted., PCM is raw audio with its returned sample geometry; do not invent a WAV header or bit depth.

Kitar hayat: synchronous_result_then_owned_library

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

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 kadarUnit pengebilanCaj
KonfigurasiKadar asas tokenJadual kadarKadar asasUnit 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
Konfigurasiaksara inputJadual kadar—Unit pengebilanbagi setiap aksara masukanCaj
Input · aksara input $0.00006 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 · Speech

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"model": "minimax/speech-01-turbo", "text": "Hello, this is a short speech example.", "stream": false, "output_format": "hex", "audio_setting": {"format": "mp3", "sample_rate": 32000, "channel": 1}}')\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n

Terima dan simpan hasil

Ailoot Ultra · Speech

mp3,pcm,flac,wav

Simpan semua hasil yang selesai

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

Retain the full JSON. Decode every hex audio byte or use the returned owned URL. Keep the actual format, sample rate, channel count and usage_characters.

Jika respons asal perlu disemak

Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.

Medan respons
MedanJenis
Medandata.audioJenisstring
Medanextra_infoJenisobject
Medantrace_idJenisstring

Alias

Alias model

Ailoot Ultra minimax/speech-01-turbo

Alias laluan kaedah

Gunakan laluan kaedah yang dipaparkan di atas.

ID pemanggil berkaitan

minimax/speech-01-turbo

", "method_identity": { "effective_request_model_id": "minimax/speech-01-turbo", "fmt": "speech", "http": "POST", "path": "/v1/audio/speech", "request_model_id": "minimax/speech-01-turbo", "route_label": "Ultra" }, "method_key": "Ultra|speech|/v1/audio/speech|minimax%2Fspeech-01-turbo", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "audio_setting": { "channel": 1, "format": "mp3", "sample_rate": 32000 }, "model": "minimax/speech-01-turbo", "output_format": "hex", "stream": false, "text": "Hello, this is a short speech example." }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets", "query": { "cursor": "actual returned next_cursor, when present", "family": "audio" } }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/audio/speech" }, "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "owned_content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset." }, "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the full JSON. Decode every hex audio byte or use the returned owned URL. Keep the actual format, sample rate, channel count and usage_characters.", "family": "audio", "fields": [ { "name": "data.audio", "type": "string" }, { "name": "extra_info", "type": "object" }, { "name": "trace_id", "type": "string" } ], "format": [ "mp3", "pcm", "flac", "wav" ] }, "parameters": [ { "default_known": false, "enum": [ "minimax/speech-01-turbo" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "maxLength": 9999, "minLength": 1, "name": "text", "required": true, "type": "string" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "voice_setting", "properties": { "emotion": { "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "type": "string" }, "latex_read": { "default": false, "type": "boolean" }, "pitch": { "default": 0, "maximum": 12, "minimum": -12, "type": "integer" }, "speed": { "default": 1, "maximum": 2, "minimum": 0.5, "type": "number" }, "text_normalization": { "default": false, "type": "boolean" }, "voice_id": { "type": "string" }, "vol": { "default": 1, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "type": "number" } }, "required": false, "type": "object" }, { "default_known": false, "enum_known": false, "name": "voice_setting.voice_id", "required": false, "type": "string" }, { "default": 1, "default_known": true, "enum_known": false, "maximum": 2, "minimum": 0.5, "name": "voice_setting.speed", "required": false, "type": "number" }, { "default": 1, "default_known": true, "enum_known": false, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "name": "voice_setting.vol", "required": false, "type": "number" }, { "default": 0, "default_known": true, "enum_known": false, "maximum": 12, "minimum": -12, "name": "voice_setting.pitch", "required": false, "type": "integer" }, { "default_known": false, "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "enum_known": true, "name": "voice_setting.emotion", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "voice_setting.text_normalization", "required": false, "type": "boolean" }, { "default": false, "default_known": true, "enum_known": false, "name": "voice_setting.latex_read", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "audio_setting", "properties": { "bitrate": { "default": 128000, "enum": [ 32000, 64000, 128000, 256000 ], "type": "integer" }, "channel": { "default": 1, "enum": [ 1, 2 ], "type": "integer" }, "force_cbr": { "default": false, "type": "boolean" }, "format": { "default": "mp3", "enum": [ "mp3", "pcm", "flac", "wav" ], "type": "string" }, "sample_rate": { "default": 32000, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "type": "integer" } }, "required": false, "type": "object" }, { "default": 32000, "default_known": true, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "enum_known": true, "name": "audio_setting.sample_rate", "required": false, "type": "integer" }, { "default": 128000, "default_known": true, "enum": [ 32000, 64000, 128000, 256000 ], "enum_known": true, "name": "audio_setting.bitrate", "required": false, "type": "integer" }, { "default": "mp3", "default_known": true, "enum": [ "mp3", "pcm", "flac", "wav" ], "enum_known": true, "name": "audio_setting.format", "required": false, "type": "string" }, { "default": 1, "default_known": true, "enum": [ 1, 2 ], "enum_known": true, "name": "audio_setting.channel", "required": false, "type": "integer" }, { "default": false, "default_known": true, "enum_known": false, "name": "audio_setting.force_cbr", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "pronunciation_dict", "properties": { "tone": { "items": { "type": "string" }, "type": "array" } }, "required": false, "type": "object" }, { "default_known": false, "enum_known": false, "items": { "type": "string" }, "name": "pronunciation_dict.tone", "required": false, "type": "array" }, { "default_known": false, "enum_known": false, "items": { "properties": { "voice_id": { "type": "string" }, "weight": { "type": "integer" } }, "type": "object" }, "name": "timber_weights", "required": false, "type": "array" }, { "default_known": false, "enum": [ "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "Bulgarian", "Danish", "Hebrew", "Malay", "Persian", "Slovak", "Swedish", "Croatian", "Filipino", "Hungarian", "Norwegian", "Slovenian", "Catalan", "Nynorsk", "Tamil", "Afrikaans", "auto" ], "enum_known": true, "name": "language_boost", "required": false, "type": "string" }, { "default_known": false, "enum_known": false, "name": "voice_modify", "properties": { "intensity": { "enum": [ -100, 100 ], "type": "integer" }, "pitch": { "enum": [ -100, 100 ], "type": "integer" }, "sound_effects": { "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "type": "string" }, "timbre": { "enum": [ -100, 100 ], "type": "integer" } }, "required": false, "type": "object" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.pitch", "required": false, "type": "integer" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.intensity", "required": false, "type": "integer" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.timbre", "required": false, "type": "integer" }, { "default_known": false, "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "enum_known": true, "name": "voice_modify.sound_effects", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "subtitle_enable", "required": false, "type": "boolean" }, { "default": "hex", "default_known": true, "enum": [ "url", "hex" ], "enum_known": true, "name": "output_format", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "aigc_watermark", "required": false, "type": "boolean" } ], "request_schema": { "properties": { "aigc_watermark": { "default": false, "type": "boolean" }, "audio_setting": { "properties": { "bitrate": { "default": 128000, "enum": [ 32000, 64000, 128000, 256000 ], "type": "integer" }, "channel": { "default": 1, "enum": [ 1, 2 ], "type": "integer" }, "force_cbr": { "default": false, "type": "boolean" }, "format": { "default": "mp3", "enum": [ "mp3", "pcm", "flac", "wav" ], "type": "string" }, "sample_rate": { "default": 32000, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "type": "integer" } }, "type": "object" }, "language_boost": { "enum": [ "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "Bulgarian", "Danish", "Hebrew", "Malay", "Persian", "Slovak", "Swedish", "Croatian", "Filipino", "Hungarian", "Norwegian", "Slovenian", "Catalan", "Nynorsk", "Tamil", "Afrikaans", "auto" ], "type": "string" }, "model": { "enum": [ "minimax/speech-01-turbo" ], "type": "string" }, "output_format": { "default": "hex", "enum": [ "url", "hex" ], "type": "string" }, "pronunciation_dict": { "properties": { "tone": { "items": { "type": "string" }, "type": "array" } }, "type": "object" }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "subtitle_enable": { "default": false, "type": "boolean" }, "text": { "maxLength": 9999, "minLength": 1, "type": "string" }, "timber_weights": { "items": { "properties": { "voice_id": { "type": "string" }, "weight": { "type": "integer" } }, "type": "object" }, "type": "array" }, "voice_modify": { "properties": { "intensity": { "enum": [ -100, 100 ], "type": "integer" }, "pitch": { "enum": [ -100, 100 ], "type": "integer" }, "sound_effects": { "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "type": "string" }, "timbre": { "enum": [ -100, 100 ], "type": "integer" } }, "type": "object" }, "voice_setting": { "properties": { "emotion": { "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "type": "string" }, "latex_read": { "default": false, "type": "boolean" }, "pitch": { "default": 0, "maximum": 12, "minimum": -12, "type": "integer" }, "speed": { "default": 1, "maximum": 2, "minimum": 0.5, "type": "number" }, "text_normalization": { "default": false, "type": "boolean" }, "voice_id": { "type": "string" }, "vol": { "default": 1, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "type": "number" } }, "type": "object" } }, "required": [ "model", "text" ], "type": "object" }, "schema_template": { "body": { "audio_setting": { "channel": 1, "format": "mp3", "sample_rate": 32000 }, "model": "minimax/speech-01-turbo", "output_format": "hex", "stream": false, "text": "Hello, this is a short speech example." }, "content_type": "application/json" } }, "input": { "conditions": [ "Use text, not input or contents. Fewer than 10000 Unicode characters; stream is false or omitted.", "PCM is raw audio with its returned sample geometry; do not invent a WAV header or bit depth." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "voice_setting", "audio_setting", "pronunciation_dict", "timber_weights", "language_boost", "voice_modify", "subtitle_enable", "output_format", "aigc_watermark" ], "required": [ "model", "text" ] }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets", "query": { "cursor": "actual returned next_cursor, when present", "family": "audio" } }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/audio/speech" }, "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "owned_content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset." }, "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/audio/speech" }, "method_aliases": [], "output": { "all_results": "Retain the full JSON. Decode every hex audio byte or use the returned owned URL. Keep the actual format, sample rate, channel count and usage_characters.", "family": "audio", "fields": [ { "name": "data.audio", "type": "string" }, { "name": "extra_info", "type": "object" }, { "name": "trace_id", "type": "string" } ], "format": [ "mp3", "pcm", "flac", "wav" ] } }, "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": "per input character" }, "label": "input character", "units": [ { "amount": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"minimax/speech-01-turbo\", \"text\": \"Hello, this is a short speech example.\", \"stream\": false, \"output_format\": \"hex\", \"audio_setting\": {\"format\": \"mp3\", \"sample_rate\": 32000, \"channel\": 1}}')\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "speech", "http": "POST", "img_in": null, "img_out": null, "in": null, "input": [ "text" ], "label": "Speech", "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", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": null, "flex_multiplier": null, "image_input_price": null, "image_output_price": null, "input_price": null, "intervals": null, "max_reasoning_effort_multiplier": null, "output_price": null, "per_request_price": null, "unit_prices": { "audio_input_character": "0.00006" } }, "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": "per input character" }, "label": "input character", "units": [ { "amount": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } ], "request_model_id": "minimax/speech-01-turbo", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "per_request", "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": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } } ], "model_id": "minimax/speech-01-turbo", "nativeProvenance": { "input_facts_canonical_sha256": "a8cbfec6a8a879676bb69fceabccdcc9384e92f0f514f0b1eecb9535b54850e9", "input_html_sha256": "dce0c559e1d97700c31f43fd249c8ca116538235bb3d5c69c8401fdf871a28ab", "private_audit_sha256": "841d7948d9c034d54543f36bb4971af5ca830547696e78645114bd156b68d8cb", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/ms/minimax-speech-01-turbo/", "description": "MiniMax Speech 01 Turbo membaca teks yang dibekalkan sebagai pertuturan terjana melalui permintaan audio_speech segerak. Ia menerima teks yang lebih pendek daripada 10,000 aksara dan menawarkan tetapan suara, kelajuan dan pic dengan output MP3, PCM, FLAC atau WAV.", "locale": "ms", "md_url": "https://ailoot.ai/models/ms/minimax-speech-01-turbo/index.md", "title": "MiniMax: Speech 01 Turbo — Ailoot", "url": "https://ailoot.ai/models/ms/minimax-speech-01-turbo/" }, "rawModel": { "about": "MiniMax Speech 01 Turbo menukar teks yang dibekalkan menjadi audio pertuturan. ID model Ailoot yang tepat ialah minimax/speech-01-turbo, dan pemilih sintesis yang didokumenkan ialah speech-01-turbo. Gunakan kaedah audio_speech untuk suara latar, pelajaran lisan, penerangan produk atau draf narasi yang kata-katanya sudah anda sediakan. Inputnya ialah petikan untuk dibaca, dan hasilnya ialah pertuturan sintesis dalam format audio yang dipilih.\n\nSediakan teks sebagai perkataan yang dimaksudkan untuk dituturkan, dengan tanda baca yang mencerminkan ungkapan. Untuk draf narasi, bekalkan urutan ayat yang telah dimuktamadkan dan ejaan nama sebelum memilih tetapan suara. Asingkan arahan pentas daripada petikan lisan melainkan perkataan itu memang perlu ada dalam rakaman. Dengar nama, nombor dan peralihan yang penting dalam hasil dan bandingkannya dengan teks sumber.\n\nTeks mestilah lebih pendek daripada 10,000 aksara. Kontrak sintesis yang diterbitkan memerlukan model dan text. Untuk bahan yang lebih panjang, sediakan petikan dalam had itu dan simpan urutannya untuk penyuntingan. Profil segerak menggunakan balasan lengkap, dengan stream=false sebagai nilai lalai yang didokumenkan. API umum turut menerangkan pilihan penstriman, tetapi kaedah yang dipilih bagi kad ini ialah aliran kerja pertuturan segerak.\n\nvoice_setting memilih voice_id yang tersedia serta mengawal speed, vol dan pitch. Julat speed yang didokumenkan ialah 0.5–2, dengan 1 sebagai nilai lalai. vol mestilah melebihi 0 dan paling banyak 10, dengan 1 sebagai nilai lalai; pitch ialah integer dari -12 hingga 12, dengan 0 sebagai nilai lalai. Pastikan setiap tetapan memenuhi keperluan petikan: bandingkan kelajuan bacaan dan kejelasan bunyi rakaman sebenar, dan bukannya menganggap perubahan angka menghasilkan persembahan tertentu.\n\nNilai emotion yang didokumenkan ialah happy, sad, angry, fearful, disgusted, surprised, calm dan fluent. Teks juga boleh membimbing emosi model. text_normalization ialah kawalan boolean berasingan untuk persediaan bacaan nombor bahasa Cina dan Inggeris, dan latex_read mengawal bacaan formula LaTeX; kedua-duanya mempunyai nilai lalai false. pronunciation_dict.tone boleh memuatkan peraturan penggantian sebutan yang didokumenkan. Semak nama atau ungkapan khusus dalam audio yang terhasil sebelum menggunakannya dalam narasi yang lebih panjang.\n\naudio_setting.format menerima mp3, pcm, flac atau wav, dengan mp3 sebagai nilai lalai. sample_rate menerima 8000, 16000, 22050, 24000, 32000 atau 44100 dan mempunyai nilai lalai 32000. bitrate menerima 32000, 64000, 128000 atau 256000, mempunyai nilai lalai 128000 dan terpakai pada MP3. channel memilih 1 untuk mono atau 2 untuk stereo, dengan 1 sebagai nilai lalai. Simpan pilihan ini bersama petikan sumber supaya fail yang dikembalikan boleh disemak untuk destinasi penyuntingan atau main balik yang dikehendaki.\n\nKawalan tambahan yang didokumenkan merangkumi language_boost, yang pilihan nama tepatnya termasuk English, Russian, Chinese dan Chinese,Yue; pilih nilai sebenar yang disenaraikan untuk petikan tersebut. timber_weights boleh menggabungkan entri voice_id sedia ada dengan nilai weight integer dari 1 hingga 100. Nilai sound_effects yang diterbitkan ialah spacious_echo, auditorium_echo, lofi_telephone dan robotic. Ini ialah kawalan pilihan untuk membentuk suara terpilih; rekodkan tetapan sebenar apabila membandingkan bacaan.\n\nHasil segerak mengandungi pertuturan terjana. output_format memilih url atau hex dan mempunyai nilai lalai hex dalam skema sintesis. Muat turun fail yang dirujuk oleh hasil URL, atau nyahkod hasil hex menjadi bait audio sebelum main balik. Simpan metadata audio yang dikembalikan, termasuk format, kadar sampel, bilangan saluran dan saiznya, bersama rakaman. subtitle_enable mempunyai nilai lalai false dan hanya terpakai pada output tanpa penstriman apabila diaktifkan; sumber tidak menetapkan format fail sari kata untuk profil ini.\n\nSimpan petikan sumber, ID model tepat, pilihan suara dan rakaman yang telah siap bersama. Semak keseluruhan bacaan dari segi kata-kata yang dikehendaki, jeda dan tetapan penyampaian yang dipilih sebelum meletakkannya dalam video, pelajaran atau panduan lisan. Jika balasan tidak lengkap, simpan identiti permintaan asal dan maklumat yang dikembalikan untuk penyelarasan sebelum meminta rakaman lain. Pindaan kemudian boleh mengubah frasa atau tetapan suara tertentu sambil mengekalkan skrip yang lain untuk perbandingan yang jelas.", "alias_of": null, "aliases": [], "author": "MiniMax", "ctx": null, "formats": [ "speech" ], "id": "minimax/speech-01-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": "Retain the complete response, all actual results, original identifiers, usage and response headers.", "authentication": { "api_key_source": "AILOOT_API_KEY", "header": "Authorization: Bearer" }, "example_body": { "audio_setting": { "channel": 1, "format": "mp3", "sample_rate": 32000 }, "model": "minimax/speech-01-turbo", "output_format": "hex", "stream": false, "text": "Hello, this is a short speech example." }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets", "query": { "cursor": "actual returned next_cursor, when present", "family": "audio" } }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/audio/speech" }, "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "owned_content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset." }, "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "outputs": { "all_results": "Retain the full JSON. Decode every hex audio byte or use the returned owned URL. Keep the actual format, sample rate, channel count and usage_characters.", "family": "audio", "fields": [ { "name": "data.audio", "type": "string" }, { "name": "extra_info", "type": "object" }, { "name": "trace_id", "type": "string" } ], "format": [ "mp3", "pcm", "flac", "wav" ] }, "parameters": [ { "default_known": false, "enum": [ "minimax/speech-01-turbo" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "maxLength": 9999, "minLength": 1, "name": "text", "required": true, "type": "string" }, { "default": false, "default_known": true, "enum": [ false ], "enum_known": true, "name": "stream", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "voice_setting", "properties": { "emotion": { "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "type": "string" }, "latex_read": { "default": false, "type": "boolean" }, "pitch": { "default": 0, "maximum": 12, "minimum": -12, "type": "integer" }, "speed": { "default": 1, "maximum": 2, "minimum": 0.5, "type": "number" }, "text_normalization": { "default": false, "type": "boolean" }, "voice_id": { "type": "string" }, "vol": { "default": 1, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "type": "number" } }, "required": false, "type": "object" }, { "default_known": false, "enum_known": false, "name": "voice_setting.voice_id", "required": false, "type": "string" }, { "default": 1, "default_known": true, "enum_known": false, "maximum": 2, "minimum": 0.5, "name": "voice_setting.speed", "required": false, "type": "number" }, { "default": 1, "default_known": true, "enum_known": false, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "name": "voice_setting.vol", "required": false, "type": "number" }, { "default": 0, "default_known": true, "enum_known": false, "maximum": 12, "minimum": -12, "name": "voice_setting.pitch", "required": false, "type": "integer" }, { "default_known": false, "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "enum_known": true, "name": "voice_setting.emotion", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "voice_setting.text_normalization", "required": false, "type": "boolean" }, { "default": false, "default_known": true, "enum_known": false, "name": "voice_setting.latex_read", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "audio_setting", "properties": { "bitrate": { "default": 128000, "enum": [ 32000, 64000, 128000, 256000 ], "type": "integer" }, "channel": { "default": 1, "enum": [ 1, 2 ], "type": "integer" }, "force_cbr": { "default": false, "type": "boolean" }, "format": { "default": "mp3", "enum": [ "mp3", "pcm", "flac", "wav" ], "type": "string" }, "sample_rate": { "default": 32000, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "type": "integer" } }, "required": false, "type": "object" }, { "default": 32000, "default_known": true, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "enum_known": true, "name": "audio_setting.sample_rate", "required": false, "type": "integer" }, { "default": 128000, "default_known": true, "enum": [ 32000, 64000, 128000, 256000 ], "enum_known": true, "name": "audio_setting.bitrate", "required": false, "type": "integer" }, { "default": "mp3", "default_known": true, "enum": [ "mp3", "pcm", "flac", "wav" ], "enum_known": true, "name": "audio_setting.format", "required": false, "type": "string" }, { "default": 1, "default_known": true, "enum": [ 1, 2 ], "enum_known": true, "name": "audio_setting.channel", "required": false, "type": "integer" }, { "default": false, "default_known": true, "enum_known": false, "name": "audio_setting.force_cbr", "required": false, "type": "boolean" }, { "default_known": false, "enum_known": false, "name": "pronunciation_dict", "properties": { "tone": { "items": { "type": "string" }, "type": "array" } }, "required": false, "type": "object" }, { "default_known": false, "enum_known": false, "items": { "type": "string" }, "name": "pronunciation_dict.tone", "required": false, "type": "array" }, { "default_known": false, "enum_known": false, "items": { "properties": { "voice_id": { "type": "string" }, "weight": { "type": "integer" } }, "type": "object" }, "name": "timber_weights", "required": false, "type": "array" }, { "default_known": false, "enum": [ "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "Bulgarian", "Danish", "Hebrew", "Malay", "Persian", "Slovak", "Swedish", "Croatian", "Filipino", "Hungarian", "Norwegian", "Slovenian", "Catalan", "Nynorsk", "Tamil", "Afrikaans", "auto" ], "enum_known": true, "name": "language_boost", "required": false, "type": "string" }, { "default_known": false, "enum_known": false, "name": "voice_modify", "properties": { "intensity": { "enum": [ -100, 100 ], "type": "integer" }, "pitch": { "enum": [ -100, 100 ], "type": "integer" }, "sound_effects": { "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "type": "string" }, "timbre": { "enum": [ -100, 100 ], "type": "integer" } }, "required": false, "type": "object" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.pitch", "required": false, "type": "integer" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.intensity", "required": false, "type": "integer" }, { "default_known": false, "enum": [ -100, 100 ], "enum_known": true, "name": "voice_modify.timbre", "required": false, "type": "integer" }, { "default_known": false, "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "enum_known": true, "name": "voice_modify.sound_effects", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "subtitle_enable", "required": false, "type": "boolean" }, { "default": "hex", "default_known": true, "enum": [ "url", "hex" ], "enum_known": true, "name": "output_format", "required": false, "type": "string" }, { "default": false, "default_known": true, "enum_known": false, "name": "aigc_watermark", "required": false, "type": "boolean" } ], "request_schema": { "properties": { "aigc_watermark": { "default": false, "type": "boolean" }, "audio_setting": { "properties": { "bitrate": { "default": 128000, "enum": [ 32000, 64000, 128000, 256000 ], "type": "integer" }, "channel": { "default": 1, "enum": [ 1, 2 ], "type": "integer" }, "force_cbr": { "default": false, "type": "boolean" }, "format": { "default": "mp3", "enum": [ "mp3", "pcm", "flac", "wav" ], "type": "string" }, "sample_rate": { "default": 32000, "enum": [ 8000, 16000, 22050, 24000, 32000, 44100 ], "type": "integer" } }, "type": "object" }, "language_boost": { "enum": [ "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "Bulgarian", "Danish", "Hebrew", "Malay", "Persian", "Slovak", "Swedish", "Croatian", "Filipino", "Hungarian", "Norwegian", "Slovenian", "Catalan", "Nynorsk", "Tamil", "Afrikaans", "auto" ], "type": "string" }, "model": { "enum": [ "minimax/speech-01-turbo" ], "type": "string" }, "output_format": { "default": "hex", "enum": [ "url", "hex" ], "type": "string" }, "pronunciation_dict": { "properties": { "tone": { "items": { "type": "string" }, "type": "array" } }, "type": "object" }, "stream": { "default": false, "enum": [ false ], "type": "boolean" }, "subtitle_enable": { "default": false, "type": "boolean" }, "text": { "maxLength": 9999, "minLength": 1, "type": "string" }, "timber_weights": { "items": { "properties": { "voice_id": { "type": "string" }, "weight": { "type": "integer" } }, "type": "object" }, "type": "array" }, "voice_modify": { "properties": { "intensity": { "enum": [ -100, 100 ], "type": "integer" }, "pitch": { "enum": [ -100, 100 ], "type": "integer" }, "sound_effects": { "enum": [ "spacious_echo", "auditorium_echo", "lofi_telephone", "robotic" ], "type": "string" }, "timbre": { "enum": [ -100, 100 ], "type": "integer" } }, "type": "object" }, "voice_setting": { "properties": { "emotion": { "enum": [ "happy", "sad", "angry", "fearful", "disgusted", "surprised", "calm", "fluent" ], "type": "string" }, "latex_read": { "default": false, "type": "boolean" }, "pitch": { "default": 0, "maximum": 12, "minimum": -12, "type": "integer" }, "speed": { "default": 1, "maximum": 2, "minimum": 0.5, "type": "number" }, "text_normalization": { "default": false, "type": "boolean" }, "voice_id": { "type": "string" }, "vol": { "default": 1, "exclusiveMinimum": true, "maximum": 10, "minimum": 0, "type": "number" } }, "type": "object" } }, "required": [ "model", "text" ], "type": "object" }, "schema_template": { "body": { "audio_setting": { "channel": 1, "format": "mp3", "sample_rate": 32000 }, "model": "minimax/speech-01-turbo", "output_format": "hex", "stream": false, "text": "Hello, this is a short speech example." }, "content_type": "application/json" } }, "input": { "conditions": [ "Use text, not input or contents. Fewer than 10000 Unicode characters; stream is false or omitted.", "PCM is raw audio with its returned sample geometry; do not invent a WAV header or bit depth." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [ "stream", "voice_setting", "audio_setting", "pronunciation_dict", "timber_weights", "language_boost", "voice_modify", "subtitle_enable", "output_format", "aigc_watermark" ], "required": [ "model", "text" ] }, "lifecycle": { "assets": [ { "http": "GET", "path": "/v1/media/assets", "query": { "cursor": "actual returned next_cursor, when present", "family": "audio" } }, { "http": "GET", "path": "/v1/media/assets/{asset_id}" } ], "cancel_endpoint": null, "create": { "http": "POST", "path": "/v1/audio/speech" }, "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "owned_content": { "http": "GET", "path": "/v1/media/assets/{asset_id}/content", "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset." }, "status": [], "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/audio/speech" }, "method_aliases": [], "output": { "all_results": "Retain the full JSON. Decode every hex audio byte or use the returned owned URL. Keep the actual format, sample rate, channel count and usage_characters.", "family": "audio", "fields": [ { "name": "data.audio", "type": "string" }, { "name": "extra_info", "type": "object" }, { "name": "trace_id", "type": "string" } ], "format": [ "mp3", "pcm", "flac", "wav" ] } }, "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": "per input character" }, "label": "input character", "units": [ { "amount": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"minimax/speech-01-turbo\", \"text\": \"Hello, this is a short speech example.\", \"stream\": false, \"output_format\": \"hex\", \"audio_setting\": {\"format\": \"mp3\", \"sample_rate\": 32000, \"channel\": 1}}')\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "speech", "http": "POST", "img_in": null, "img_out": null, "in": null, "input": [ "text" ], "label": "Speech", "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", "cache_read_price": null, "cache_write_1h_price": null, "cache_write_price": null, "fast_multiplier": null, "flex_multiplier": null, "image_input_price": null, "image_output_price": null, "input_price": null, "intervals": null, "max_reasoning_effort_multiplier": null, "output_price": null, "per_request_price": null, "unit_prices": { "audio_input_character": "0.00006" } }, "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": "per input character" }, "label": "input character", "units": [ { "amount": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } ], "request_model_id": "minimax/speech-01-turbo", "route_label": "Ultra", "status_reads": [], "tiers": [], "unit": "per_request", "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": "0.00006", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_character", "label": "input character", "native_amount_usd_per_unit": "0.00006", "native_quantity": 1, "public_unit_label": "per input character", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_character" } ] } ], "model_aliases": [ { "canonical_model_id": "minimax/speech-01-turbo", "request_model_id": "minimax/speech-01-turbo", "route_label": "Ultra" } ], "name": "MiniMax: Speech 01 Turbo", "price": { "in": "0.00006", "in_label": "per input character", "out": null, "out_label": null, "sort_in": null, "sort_out": null, "varies": false }, "short": "MiniMax Speech 01 Turbo membaca teks yang dibekalkan sebagai pertuturan terjana melalui permintaan audio_speech segerak. Ia menerima teks yang lebih pendek daripada 10,000 aksara dan menawarkan tetapan suara, kelajuan dan pic dengan output MP3, PCM, FLAC atau WAV." }, "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": "MiniMax Speech 01 Turbo membaca teks yang dibekalkan sebagai pertuturan terjana melalui permintaan audio_speech segerak. Ia menerima teks yang lebih pendek daripada 10,000 aksara dan menawarkan tetapan suara, kelajuan dan pic dengan output MP3, PCM, FLAC atau WAV.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "9d8f72d34f390fe1d23095dbc6923204ac6e47dcdd7ac3e839df5d81066cddbc", "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460" }, "sourceRevision": "1163d1d36bfbafa7c56b4ba034ad9b2c296a0f022b76ab130df637e89f29bc2f" }