minimax
MiniMax: MiniMax M3.1 Flash
minimax/minimax-m3.1-flash
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Specifications
- Model ID
- minimax/minimax-m3.1-flash
- Canonical ID
- minimax/minimax-m3.1-flash-20261019
- Creator
- minimax
- Added to OpenRouter
- 19.10.2026
- Context length
- 1,048,576
- Modality
- text+image+video->text
- Input modalities
- text, image, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.150 / out $0.600
- 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 | BB — next 30% of the cohort | reasoning: mandatory · default max · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default max · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 29.1 | BB — next 30% of the cohort | 13.11.2026 |
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) |
|---|---|---|---|---|---|---|
| StreamLakefp8 | 1,000,000 | $0.135 | $0.540 | — | — | 100% |
| Fireworks | 1,048,576 | $0.150 | $0.600 | — | — | 96.67% |
| InferenceNetfp4 | 1,000,000 | $0.150 | $0.600 | — | — | — |
| DigitalOcean | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
| Nebiusfp4 | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
| SambaNova | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
| Parasailfp8 | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
| InferenceNetfp4 | 1,000,000 | $0.150 | $0.600 | — | — | — |
| Together | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
| GMICloudfp8 | 1,048,576 | $0.150 | $0.600 | — | — | — |
| Minimax | 1,048,576 | $0.150 | $0.600 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.