Speech Arena
Elo · text-to-speech arena
Custom pricing for production workloads
MiniMax Speech 2.8, text-to-speech model for generating natural-sounding speech from text. Supports multiple quality modes (turbo and hd) optimized for latency or audio fidelity.
It focuses on delivering natural, expressive speech with minimal delay, making it a strong fit for interactive environments where users expect immediate, human-like responses.
minimax/speech-2.8-turboPOST https://api.aimlapi.com/v1/ttsMiniMax Speech 2.8 Turbo is a performance-optimized version of the Speech 2.8 model family. Instead of pushing maximum audio fidelity, it prioritizes speed, responsiveness, and stability under load. The result is a model that feels fluid in real-time interactions while still maintaining a convincing level of vocal realism.
Under the hood, it relies on a Transformer-based architecture with a speaker representation layer, allowing it to generate consistent, identity-driven voices and adapt quickly to different speaking styles. This structure also enables zero-shot voice cloning, where a short audio sample is enough to approximate a new voice.
| Attribute | Details |
|---|---|
| Model Type | Autoregressive Transformer |
| Voice Cloning | Zero-shot (speaker encoder) |
| Latency | ~200–250 ms |
| Max Input | ~10,000 characters |
| Streaming | Supported |
| Architecture Enhancements | Flow-VAE decoder for realism |
The model is designed to sound natural without slowing systems down. Speech output feels continuous and well-paced, avoiding the robotic cadence typical of older TTS systems. Emotional tone is not an afterthoughtit , can be shaped deliberately, giving the output a sense of intent rather than neutrality.
Voice cloning works without lengthy setup. A short reference clip can be enough to reproduce tone, rhythm, and general vocal character, which is especially useful when consistency across sessions or characters is required.
Language support extends across dozens of languages and dialects, making the model suitable for products that operate across regions. Instead of treating localization as a separate layer, speech generation can remain unified across different markets.
MiniMax Speech 2.8 Turbo gives developers precise control over how speech is delivered. Parameters such as speed, pitch, and volume can be adjusted in a predictable way, allowing teams to fine-tune output to match a product’s tone or UX requirements.
Emotion can also be guided directly. Rather than relying on implicit tone, the model supports intentional delivery styles, which is particularly useful in storytelling, guided experiences, or branded voice interactions.
Audio output can be configured in standard formats such as WAV or MP3, with flexibility around sampling and encoding. This makes it easier to integrate the model into different pipelines without additional processing layers.
Real-time voice assistants are a documented fit for Speech 2.8 Turbo, especially where low latency and interactive responses matter. It is described as suited to real-time assistants and interactive applications, including live voice-driven experiences.
IVR systems are another documented use case. The model is described as suitable for interactive voice response workflows where responsive, natural-sounding prompts are needed.
High-volume narration is also documented. Sources describe it as suited to large-scale narration workflows and rapid iteration, including bulk audio generation.
Interactive content is listed as a fit as well. The model is described as useful for content that needs fast voice generation during engagement-heavy experiences.
Human-preference results for Speech 2.8 Turbo in speech arena, next to models available on AI/ML API. Data retrieved Nov 3, 2026.
Elo · text-to-speech arena
USD per generation
Arena results for models you can call with the same API key.
Listeners hear two clips of the same text and choose the more natural one. Speech 2.8 Turbo ranks #30 of 101.
| Usage | Price | Unit |
|---|---|---|
| Speech generation | $78 | per generation |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API rates for 5 models, per generation.
| Model | Per generation |
|---|---|
| $78 | |
| $0.078 | |
| $0.13 | |
| $5.25 | |
| $10.5 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/tts' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "minimax/speech-2.8-turbo",
"text": "Your order has shipped. It will arrive on Thursday between nine and eleven in the morning. Reply to this message if you need to change the delivery time."
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "minimax/speech-2.8-turbo",
"text": "Your order has shipped. It will arrive on Thursday between nine and eleven in the morning. Reply to this message if you need to change the delivery time."
}
response = requests.post("https://api.aimlapi.com/v1/tts", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/tts", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "minimax/speech-2.8-turbo",
"text": "Your order has shipped. It will arrive on Thursday between nine and eleven in the morning. Reply to this message if you need to change the delivery time."
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Speech 2.8 Turbo takes text as input and returns audio.
Speech 2.8 Turbo became available on April 13, 2026.
Speech 2.8 Turbo is priced at $78 / 1M.
Speech 2.8 Turbo is billed per generation, a fixed charge per output rather than by prompt length.
Speech 2.8 Turbo was built by MiniMax.
Send a request to https://api.aimlapi.com/v1/tts with minimax/speech-2.8-turbo as the model id.
Yes. Speech 2.8 Turbo is served through AI/ML API, so the same key and endpoint format used for other models applies.
Use minimax/speech-2.8-turbo as the model parameter. Requests go to https://api.aimlapi.com/v1/tts with your AI/ML API key.