MiniMax-M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency.
The model excels in code generation, multi-file editing, compile-run-fix loops, and test-validated repair, showing strong results on SWE-Bench Verified, Multi-SWE-Bench, and Terminal-Bench. It also performs competitively in agentic evaluations such as BrowseComp and GAIA, effectively handling long-horizon planning, retrieval, and recovery from execution errors.
Benchmarked by Artificial Analysis, MiniMax-M2 ranks among the top open-source models for composite intelligence, spanning mathematics, science, and instruction-following. Its small activation footprint enables fast inference, high concurrency, and improved unit economics, making it well-suited for large-scale agents, developer assistants, and reasoning-driven applications that require responsiveness and cost efficiency.
To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. Learn more about using reasoning_details to pass back reasoning in our docs.
- Organization
- MiniMax (minimax.io)
- Family
- minimax
- Providers
- 12
- Context
- 204,800
- Output limit
- 131,072
- Knowledge
- —
- Release
- 2025-10-27
- Updated
- 2025-10-27
- Weights
- Open
- Input
- text
- Output
- text
- Capabilities
- Tools, Reasoning, Temperature
Providers
Compare every cataloged offer for this model, including its provider, route, token limits, price, and capabilities.
| Provider | Model ID | Context | Output | Input / output · 1M | Reasoning | Tools | Structured | Details |
|---|---|---|---|---|---|---|---|---|
| Amazon Bedrock | minimax.minimax-m2 | 204,608 | 128,000 | $0.30 / $1.20 | Yes | Yes | Yes | View |
| Cortecs | minimax-m2 | 400,000 | 196,000 | $0.349 / $1.405 | Yes | Yes | Yes | View |
| DevPass (LLM Gateway) | minimax-m2 | 196,608 | 131,072 | $0.20 / $1.00 | Yes | Yes | — | View |
| Eden AI | minimax/MiniMax-M2 | 204,800 | 131,072 | $0.30 / $1.20 | Yes | Yes | No | View |
| Hugging Face | MiniMaxAI/MiniMax-M2 | 204,800 | 131,072 | $0.30 / $1.20 | Yes | Yes | — | View |
| Kilo Gateway | minimax/minimax-m2 | 196,608 | 176,947 | $0.30 / $1.20 | Yes | Yes | Yes | View |
| LLM Gateway | minimax/minimax-m2 | 196,608 | 131,072 | $0.20 / $1.00 | Yes | Yes | No | View |
| Merge Gateway | minimax/minimax-m2 | 204,800 | 8,192 | $0.30 / $1.20 | Yes | Yes | Yes | View |
| NanoGPT | minimax/minimax-m2 | 200,000 | 131,072 | $0.17 / $1.53 | Yes | No | No | View |
| Ofox | minimax/minimax-m2 | 204,800 | 131,072 | $0.30 / $1.20 | Yes | Yes | — | View |
| Googlevia OpenRouter | minimax/minimax-m2 unknown | 196,608 | 176,947 | $0.30 / $1.20 | Yes | Yes | Yes | View |
| Minimaxvia OpenRouter | minimax/minimax-m2 fp8 | 204,800 | 131,072 | $0.255 / $1.02 | Yes | Yes | No | View |
| Novitavia OpenRouter | minimax/minimax-m2 fp8 | 204,800 | 131,072 | $0.30 / $1.20 | Yes | Yes | No | View |
| Vercel AI Gateway | minimax/minimax-m2 | 205,000 | 196,608 | $0.30 / $1.20 | Yes | Yes | — | View |
Prices and limits apply to each offer. A dash means the value is not provided. OpenRouter offers show the hosting provider and routing channel separately.
Pricing
Compare token rates and cache charges across available routes and hosting configurations.
Lowest listed input and output prices across the offers above; they may belong to different providers. These are base rates, before conditional pricing, discounts or additional fees.
minimax/minimax-m2Observed - Input
- $0.30
- Output
- $1.20
Hosting prices through OpenRouter All endpoints and cache rates
| Endpoint | Input / 1M | Output / 1M | Cache read / 1M | Cache write / 1M |
|---|---|---|---|---|
| Googlegoogle-vertex | $0.30 | $1.20 | — | — |
| Minimaxminimax/fp8 | $0.255 | $1.02 | — | — |
| Novitanovita/fp8 | $0.30 | $1.20 | $0.03 | — |
Each row is a hosting configuration. Open an offer in Providers for its full pricing conditions and additional fees. Endpoint observations may differ from the routing catalog's base price.
Performance
Review reported latency and output-throughput percentiles from the latest observed rolling window.
Time to first token · milliseconds
All latency percentiles 3 endpoints
| Endpoint | P50 | P75 | P90 | P99 |
|---|---|---|---|---|
| Googlegoogle-vertex | 692 ms | 1,227.5 ms | 1,915.8 ms | 3,620.91 ms |
| Minimaxminimax/fp8 | 903 ms | 1,420.5 ms | 1,609.4 ms | 1,744.3 ms |
| Novitanovita/fp8 | 1,430 ms | 1,821.5 ms | 4,346 ms | 7,863.15 ms |
Output throughput · tokens per second
All throughput percentiles 3 endpoints
| Endpoint | P50 | P75 | P90 | P99 |
|---|---|---|---|---|
| Googlegoogle-vertex | 118 t/s | 122 t/s | 148 t/s | 170.2 t/s |
| Minimaxminimax/fp8 | 67.5 t/s | 79.75 t/s | 98.2 t/s | 113.32 t/s |
| Novitanovita/fp8 | 69 t/s | 78 t/s | 83 t/s | 103.7 t/s |
Percentiles describe the observed request distribution. These are snapshots of a rolling window, not a historical time series.
Uptime
Compare successful request rates across the latest 5-minute, 30-minute, and 24-hour observations.
Reported by OpenRouter at the time of collection; rate-limited requests are excluded. A dash means no measurement was reported. This is not a live availability check.
Benchmarks
Review attributed evaluation results on each source's original scale.
minimax/minimax-m2Observed | Design Arena | Category | Elo | Win rate | Rank |
|---|---|---|---|---|
| models | 3d | 1,113 | 48.3% | 80 |
| models | codecategories | 1,141 | 48.1% | 84 |
| models | dataviz | 1,149 | 50% | 76 |
| models | gamedev | 1,131 | 48.1% | 80 |
| models | svg | 1,099 | 55.3% | 59 |
| models | uicomponent | 1,143 | 49.2% | 77 |
| models | website | 1,149 | 48% | 83 |
Sources: Artificial Analysis and Design Arena, via OpenRouter. Scores retain their original scales and are not OpenAI Suite ratings.
Detailed evaluations
| Evaluation | Configuration | Source | Results | Details |
|---|---|---|---|---|
| models · gamedev | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,131 Elo | Details |
| models · uicomponent | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,143 Elo | Details |
| models · codecategories | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,141 Elo | Details |
| models · svg | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,099 Elo | Details |
| models · dataviz | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,149 Elo | Details |
| models · website | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,149 Elo | Details |
| models · 3d | MiniMax M2 Stableminimax/minimax-m2 | Design Arena | 1,113 Elo | Details |
Sources: Artificial Analysis, Design Arena and OpenRouter. Evaluation configurations and scales differ; results are not interchangeable. Updated Oct 4, 2026.
Technical details & API
Explore specifications, supported parameters, reasoning controls, and API identifiers for each OpenRouter route.
minimax/minimax-m2Observed - Context
- 204,800
- Maximum output
- 176,947
- Tokenizer
- Other
- Input
- text
- Output
- text
- Moderation
- No
- Added to OpenRouter
- 2025-10-23
https://openrouter.ai/api/v1minimax/minimax-m2minimax/minimax-m2MiniMaxAI/MiniMax-M2Reasoning
- Required
- Yes
- Enabled by default
- Not reported
- Default effort
- —
- Supported efforts
- —
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Default parameters
- top p
- 0.95
- temperature
- 1
Frequently asked questions
Answers based on the model metadata and serving offers currently in the catalog.
How much does MiniMax-M2 cost?
Listed rates start at $0.17 per million input tokens and $1.00 per million output tokens. Prices vary by provider and configuration; see Pricing for details.
Which providers offer MiniMax-M2?
There are 14 cataloged offers across 12 providers. Compare model IDs, prices and limits in Providers.
What is the context window?
The cataloged model context is 204,800 tokens. Each serving endpoint may apply a different limit.
Does it support tools and structured output?
Tool calling: Yes. Structured output: Not reported. Support can vary by endpoint.
Resources
Catalog history · 2 recorded revisions
Metadata observations since this model was first cataloged. These are not model release versions.
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