minimax

MiniMax: Speech 2.8 Turbo

minimax/speech-2.8-turbo

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter’s catalog identifies minimax/speech-2.8-turbo as a MiniMax text-to-speech model with text input and speech output. It reports that the model is suited to applications that generate spoken audio from text and that it accepts arbitrary MiniMax voice IDs. This source pack contains catalog metadata only; an independent model card was not available, and no measured performance results were supplied. Treat the description as source-reported capability rather than demonstrated quality.[1]

Strengths

Catalog metadata describes a direct text-to-speech pipeline.[1]
OpenRouter reports support for arbitrary MiniMax voice IDs.[1]

Limitations

Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack.[1]
No measured performance, latency, voice-quality, licensing, or safety evidence was supplied; validate target workloads before adoption.[1]

Where to use it

Consider for applications that need spoken audio generated from text, subject to workload validation.[1]
Potentially useful where callers already manage MiniMax voice IDs.[1]

Sources

[1] OpenRouter catalog · MiniMax: Speech 2.8 TurboSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

MiniMax Speech 2.8 Turbo is a text-to-speech model from MiniMax. It is suited for applications that generate spoken audio from text and accepts arbitrary MiniMax voice IDs.

Specifications

Model ID: minimax/speech-2.8-turbo
Canonical ID: minimax/speech-2.8-turbo-20260716
Creator: minimax
Added to OpenRouter: 16.07.2026
Context length: 0
Modality: text->speech
Input modalities: text
Output modalities: speech
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Minimax	0	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.