MiniMax model product
MiniMax M2 is an open-source large language model by MiniMax, built for agents and coding tasks.
Updated Aug 17, 2026. Default version: MiniMax M2
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiniMax M2.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkIF | Score72.0% | Rank02 | Participants2 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkAA-Index | Score61.0% | Rank04 | Participants4 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench | Score46.3% | Rank04 | Participants25 | Percentile87.5% | EvidenceC | Evaluated |
| BenchmarkMulti-SWE-Bench | Score36.2% | Rank05 | Participants6 | Percentile20.0% | EvidenceC | Evaluated |
| BenchmarkTau-bench | Score77.2% | Rank05 | Participants6 | Percentile20.0% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score83.0% | Rank07 | Participants75 | Percentile91.9% | EvidenceC | Evaluated |
| BenchmarkBrowseComp-zh | Score48.5% | Rank11 | Participants13 | Percentile16.7% | EvidenceC | Evaluated |
| BenchmarkTau2 Telecom | Score87.0% | Rank17 | Participants35 | Percentile52.9% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score36.0% | Rank19 | Participants21 | Percentile10.0% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score56.5% | Rank30 | Participants38 | Percentile21.6% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score82.0% | Rank42 | Participants134 | Percentile69.2% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score44.0% | Rank53 | Participants62 | Percentile14.8% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score69.4% | Rank68 | Participants111 | Percentile39.1% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score78.0% | Rank75 | Participants115 | Percentile35.1% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score12.5% | Rank82 | Participants99 | Percentile17.4% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score78.0% | Rank99 | Participants239 | Percentile58.8% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categoryoverall | Rank95 | Rating / score1297.0 | Votes6,534 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank152 | Rating / score1362.5 | Votes6,737 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank185 | Rating / score1342.2 | Votes6,905 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank205 | Rating / score1345.7 | Votes6,905 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderMiniMax Token Plan (minimaxi.com) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context196.6K | Updated |
| ProviderMiniMax Token Plan (minimax.io) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context196.6K | Updated |
| ProviderNanoGPT | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.17 | Output / 1M$1.53 | Context200K | Updated |
| ProviderLLM Gateway | Provider model IDminimax-m2 | Regionglobal | Input / 1M$0.20 | Output / 1M$1 | Context196.6K | Updated |
| ProviderOpenRouter | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.255 | Output / 1M$1.02 | Context204.8K | Updated |
| ProviderHugging Face | Provider model IDMiniMaxAI/MiniMax-M2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderAmazon Bedrock | Provider model IDminimax.minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.6K | Updated |
| ProviderMerge Gateway | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderZenMux | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204K | Updated |
| ProviderOfox | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderMiniMax (minimaxi.com) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderVercel AI Gateway | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context205K | Updated |
| ProviderEden AI | Provider model IDminimax/MiniMax-M2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderNovitaAI | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderKilo Gateway | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMiniMax (minimax.io) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context196.6K | Updated |
| Provider302.AI | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.33 | Output / 1M$1.32 | Context1M | Updated |
| ProviderCortecs | Provider model IDminimax-m2 | Regionglobal | Input / 1M$0.349 | Output / 1M$1.41 | Context400K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for MiniMax M2. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderMiniMax | Output Speed103.094 tok/s | Catalog Latency1.795 s | Max Input1M | Max Output1M | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMiniMax M2 | Released | LLMBoard44.3 | Parameters230B | Context196.6K | Max output128K | Open weightsYes | LicenseMIT |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about MiniMax M2 and its available data.
MiniMax M2 is an open-source large language model by MiniMax, built for agents and coding tasks. 5 Sonnet’s cost and running at nearly double its inference speed (≈100 TPS). Designed for end-to-end agentic workflows, it excels at long-chain tool calling across Shell, Browser, Python, and other MCP tools.
While slightly behind top overseas models in programming, it ranks among the best domestic models and top five globally on the Artificial Analysis benchmark.
M2 powers the MiniMax Agent platform, available in Lightning Mode for fast tasks and Pro Mode for complex multi-step reasoning, and its weights, API, and deployment guides are freely available on Hugging Face, vLLM, and SGLang.
Data as of 2026-08-17.
Common questions about MiniMax M2.
MiniMax M2's default version was released on Oct 27, 2025.
MiniMax M2's official API price is $0.30 per million input tokens and $1.2 per million output tokens via MiniMax (minimax.io). The lowest tracked third-party offer starts at $0.17 input and $1.53 output via NanoGPT.
MiniMax M2 was created by MiniMax.
The default version has a 196.6K token context window.
Yes. The default version is marked as open weight under MIT.
19 provider offerings are linked to the default version.
Nearby ranked alternatives include Claude Haiku 4.5, GPT-5-mini, o4 mini.