minimax
MiniMax: MiniMax M3 (batch)
minimax/minimax-m3:batch
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Specifications
- Model ID
- minimax/minimax-m3:batch
- Canonical ID
- minimax/minimax-m3-20260531
- Creator
- minimax
- Added to OpenRouter
- 31.05.2026
- Context length
- 524,288
- Modality
- text+image+video->text
- Input modalities
- text, image, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.224 / out $0.880
- 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 | CC — below the B band | reasoning: optional · parameters: include_reasoning, reasoning |
| Coding | BB — next 30% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| 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 | 18.9 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Coding index | 58.6 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 29.5 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 44.9% · rank 18 | 1,114Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 45.1% · rank 25 | 1,156Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 42.5% · rank 15 | 1,090Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 57% · rank 6 | 1,215Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 47.4% · rank 19 | 1,179Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · htmlslideswin rate 46.7% · rank 14 | 1,077Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 46.5% · rank 27 | 1,171Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 61.6% · rank 7 | 1,261Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 47.5% · rank 16 | 1,166Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 51.2% · rank 17 | 1,155Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · webappswin rate 47.7% · rank 22 | 1,192Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 50.1% · rank 52 | 1,193Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 45.5% · rank 43 | 1,149Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 50.5% · rank 47 | 1,237Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 51% · rank 44 | 1,231Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 45.4% · rank 55 | 1,202Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 44% · rank 48 | 1,148Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 50.2% · rank 47 | 1,236Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 51.6% · rank 45 | 1,249Elo | 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) |
|---|---|---|---|---|---|---|
| DeepInfrafp8 | 524,288 | $0.224 | $0.880 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.