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  4. /speech-2.6-hd
MiniMax
speech-2.6-hd
Documentation
Documentation
speech-2.6-hd/text-to-audio is a state-of-the-art AI model for converting text into high-definition audio. Designed for speed and natural language handling, it generates clear, expressive speech in various styles. As part of the speech-2.6-hd family, it improves latency and natural prosody versus earlier generations. This model stands out for realistic synthesis, multi-language support, and seamless API integration. It is ideal for applications in media production, accessible technology, customer service, and educational tools. It enables developers to build scalable voice solutions with excellent audio quality and robust customization options.

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Examples

MiniMax Speech 2.6 API — HD Text-to-Speech at 40% Off List

The MiniMax Speech 2.6 API turns text into HD audio across 40 languages, with per-request input up to 10,000 characters and seven built-in emotions. On GPTProto you call the speech-2.6-hd model at $60 per 1M output tokens with input tokens free — 40% off the list price, using one API key and one shared balance across 200+ models. No separate MiniMax account and no region-gated sign-up. Browse all models to see what else runs on the same key.

 

What the MiniMax Speech 2.6 HD Model Does

speech-2.6-hd is the high-fidelity variant of the MiniMax Speech 2.6 family, tuned for narration, audiobooks, and brand voiceover where timbre detail and prosody matter. Against MiniMax Speech 02 it improves multilingual similarity, rhythm, and voice-cloning accuracy, and covers 40 languages with dialect handling. The "HD" route targets fidelity; the Turbo route in the same family targets lowest latency. On GPTProto you reach the HD model through the MiniMax Speech 2.6 API without managing a MiniMax account directly.

 

Long-Form Narration and Audiobooks

For publishing and e-learning, speech-2.6-hd accepts up to 10,000 characters per request (streaming output is recommended above 3,000 characters) and holds a consistent voice across long passages. Its 40-language coverage and per-request emotion control (happy, sad, angry, fearful, disgusted, surprised, neutral) let one pipeline produce multilingual audiobooks, courseware, and read-aloud accessibility tracks. Long scripts should be segmented and streamed rather than sent as a single block.

Voice Agents and Support Scripts

Speech 2.6 reads dynamic text the way an agent needs it: URLs, email addresses, phone numbers, dates, and currency amounts are verbalized correctly without pre-processing (for example $1,234.56 → "one thousand two hundred thirty-four dollars and fifty-six cents"). speech-2.6-hd supports streaming PCM output for responsive playback. If your priority is the lowest possible latency, GPTProto also lists speech-2.5-turbo-preview on the same key — the HD route trades a little speed for higher fidelity.

 

Why Call MiniMax Speech 2.6 Through GPTProto

Going direct to MiniMax means a separate account, per-character billing, and a region-gated sign-up. GPTProto gives you the same speech-2.6-hd model behind one API key and one prepaid balance shared across 200+ text, image, video, and audio models. You top up once and spend it anywhere, monitor usage in one dashboard, and keep the model string identical if you later migrate. Access value, not a rewrite of the model.

What Is MiniMax Speech 2.6?

MiniMax Speech 2.6 is a text-to-speech (TTS / text-to-audio) model family announced on October 30, 2025, built for voice agents, multilingual narration, and correct reading of non-standard text. It ships in two routes: HD (fidelity-focused) and Turbo (low-latency). GPTProto exposes the HD route as speech-2.6-hd through the MiniMax Speech 2.6 text-to-speech API. The table below is the working spec for speech-2.6-hd.

 

Spec speech-2.6-hd
Model string speech-2.6-hd
Modality Text → Audio (TTS / T2A)
Variant HD (fidelity); Turbo is the low-latency sibling
Languages 40 languages + dialects
Max input Under 10,000 characters per request (stream above 3,000)
Emotions 7 — happy, sad, angry, fearful, disgusted, surprised, neutral
Voice controls speed [0.5–2.0], volume (0–10], pitch [-12–+12]
Sample rates 22,050 / 24,000 / 44,100 / 48,000 Hz
Bitrates 64k–320k bps (MP3 / OGG)
Output formats MP3, WAV, OGG, FLAC; streaming PCM
Voice cloning Supported — 10-second reference; Fluent LoRA for cloned-voice fluency
Text normalization Auto-reads URLs, emails, phone numbers, dates, currency
GPTProto price $0 / 1M input tokens · $60 / 1M output tokens (40% off list)
GPTProto model access One API key, shared balance across 200+ models

 

MiniMax Speech 2.6 HD vs 2.5 HD vs 2.5 Turbo

All three run on GPTProto under the same key, so you can A/B them on your own scripts. Speech 2.6 improves multilingual similarity, rhythm, and non-standard-text handling over the 2.5 line; the 2.5 Turbo route stays the fastest option.

  speech-2.6-hd speech-2.5-hd-preview speech-2.5-turbo-preview
Priority HD fidelity HD fidelity (prev. gen) Latency + cost
Languages 40 40 40
Text normalization (URLs / dates / amounts) Improved Basic Basic
Voice cloning Yes (Fluent LoRA) Yes Yes
Best for Narration, audiobooks, brand VO Existing 2.5 HD workflows Real-time agents, IVR
GPTProto price (per 1M tokens) $0 in / $60 out $0 in / $60 out $0 in / $36 out

 

Short version: pick 2.6 HD for the most natural narration and correct reading of messy text; keep 2.5 HD only if a workflow is already tuned to it — it's the same $60 output rate, so 2.6 HD is the default; use 2.5 Turbo at $36 / 1M output tokens when turn-taking speed and cost matter more than fidelity.

Voices, Emotions, and Language Coverage

speech-2.6-hd exposes system voices and cloned voices via voice_id, plus per-request control over delivery:

  • Emotion — one of seven: happy, sad, angry, fearful, disgusted, surprised, neutral.
  • Speed — 0.5–2.0 (default 1.0).
  • Volume — >0–10 (default 1.0).
  • Pitch — -12–+12 in integer steps (default 0, original timbre).
  • Pauses — insert <#x#> between words to set a silence of x seconds (0.01–99.99).
  • Text normalization — auto-reads URLs, email addresses, phone numbers, dates, and money.

The model covers 40 languages with inline switching in mixed-language text, and language_boost biases a primary language when input mixes scripts. Voice cloning takes a ~10-second reference; Fluent LoRA keeps cloned voices fluent even from accented or disfluent samples.

 

Switching from Official MiniMax to GPTProto

If you already call MiniMax's /v1/t2a_v2 route, moving to GPTProto is an access change, not a model change — the model string stays speech-2.6-hd. You swap the base URL and auth to GPTProto (see the Quick Start above for the exact endpoint and request shape), then bill from your shared GPTProto balance instead of a MiniMax account. What you gain:

  • One key, one balance across 200+ models — no per-provider accounts.
  • No region-gated sign-up — relevant if MiniMax's platform sign-up is friction in your market.
  • Input tokens free, output at $60 / 1M — 40% off the list rate shown on the model card.

Voice IDs, emotion, and audio settings map to the same request fields; confirm any provider-specific field names in the Quick Start before cutting over production traffic.

How to Get a speech-2.6-hd API Key

Getting a speech-2.6-hd API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0 / $60 it's a cheaper speech-2.6-hd API key than going direct, and one key works across every model on the platform. Full speech-2.6-hd Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including speech-2.6-hd, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to speech-2.6-hd.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to speech-2.6-hd via GPT Proto and see instant AI-powered results.

Get API Key

Frequently Asked Questions

Common questions about the speech-2.6-hd/text-to-audio AI model

How do I get a MiniMax Speech 2.6 API key?

Sign up for GPTProto, top up your balance, and generate a key in the dashboard — the same key works for speech-2.6-hd and every other model on the platform. (See the steps above.)

How much does the MiniMax Speech 2.6 API cost?

On GPTProto, speech-2.6-hd is $0 / 1M input tokens and $60 / 1M output tokens — 40% off the $100 list. Billing is direct-balance, not credits.

MiniMax Speech 2.6 HD vs 2.5 HD — what's different?

2.6 HD improves multilingual similarity, rhythm, and reading of URLs/dates/amounts over 2.5 HD, and adds Fluent LoRA for cloned voices. Both cover 40 languages and both run on GPTProto.

MiniMax Speech 2.6 HD vs 2.5 Turbo — which should I use?

Use 2.6 HD for fidelity (narration, audiobooks). Use 2.5 Turbo when latency and cost matter more than audio detail — both are on the same key.

How many languages and characters does Speech 2.6 support?

40 languages with dialect handling; up to 10,000 characters per request (stream above 3,000).

Do I need a separate MiniMax account to use Speech 2.6 on GPTProto?

No. One GPTProto key and balance covers speech-2.6-hd plus 200+ other models.

Can I use MiniMax Speech 2.6 output commercially?

Commercial rights follow MiniMax's model license; for cloned voices you must have consent and rights for the reference audio.

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With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

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To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

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