MiniMax model product
MiniMax M2 is an open-source large language model by MiniMax for agentic workflows and coding tasks.
Updated Sep 8, 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 | Score72.00% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAA-Index | Score61.00% | Rank04 | Participants4 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench | Score46.30% | Rank04 | Participants25 | Percentile87.50% | EvidenceC | Evaluated |
| BenchmarkMulti-SWE-Bench | Score36.20% | Rank05 | Participants6 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkTau-bench | Score77.20% | Rank05 | Participants6 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score83.00% | Rank07 | Participants75 | Percentile91.89% | EvidenceC | Evaluated |
| BenchmarkBrowseComp-zh | Score48.50% | Rank11 | Participants13 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkTau2 Telecom | Score87.00% | Rank17 | Participants36 | Percentile54.29% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score36.00% | Rank21 | Participants24 | Percentile13.04% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score56.50% | Rank33 | Participants43 | Percentile23.81% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score82.00% | Rank43 | Participants138 | Percentile69.34% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score44.00% | Rank54 | Participants63 | Percentile14.52% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score69.40% | Rank68 | Participants113 | Percentile40.18% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score78.00% | Rank79 | Participants119 | Percentile33.90% | EvidenceC | Evaluated |
| BenchmarkLM Arena Webdev | Score1,297.54 rating | Rank83 | Participants97 | Percentile14.58% | EvidenceA | Evaluated |
| BenchmarkHumanity's Last Exam | Score12.50% | Rank86 | Participants103 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score78.00% | Rank104 | Participants247 | Percentile58.13% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,361.33 rating | Rank119 | Participants121 | Percentile1.67% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,341.91 rating | Rank139 | Participants210 | Percentile33.97% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,345.68 rating | Rank150 | Participants210 | Percentile28.71% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categorywebdev-html | Rank82 | Rating / score1,307.23 | Votes6,514 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank83 | Rating / score1,297.54 | Votes6,543 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank83 | Rating / score1,297.54 | Votes6,543 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry business and management and financial operations | Rank105 | Rating / score1,371.89 | Votes751 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry entertainment and sports and media | Rank107 | Rating / score1,319.94 | Votes601 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts english | Rank108 | Rating / score1,406.52 | Votes896 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank109 | Rating / score1,362.07 | Votes128 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycoding | Rank111 | Rating / score1,413.20 | Votes855 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry writing and literature and language | Rank111 | Rating / score1,315.51 | Votes835 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryinstruction following | Rank111 | Rating / score1,344.20 | Votes1,120 | ObservationsN/A | Result date |
| Arenatext factuality | Categorylonger query | Rank112 | Rating / score1,356.45 | Votes915 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts | Rank113 | Rating / score1,387.86 | Votes3,290 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry software and it services | Rank113 | Rating / score1,402.21 | Votes1,403 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank113 | Rating / score1,365.12 | Votes128 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryenglish | Rank116 | Rating / score1,386.05 | Votes2,280 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexclude ties | Rank116 | Rating / score1,332.12 | Votes4,737 | ObservationsN/A | Result date |
| Arenatext factuality | Categorynon english | Rank118 | Rating / score1,332.33 | Votes3,423 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank119 | Rating / score1,361.33 | Votes6,588 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank124 | Rating / score1,364.23 | Votes1,088 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank127 | Rating / score1,377.77 | Votes1,609 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank127 | Rating / score1,314.72 | Votes274 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank129 | Rating / score1,372.90 | Votes289 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry medicine and healthcare | Rank129 | Rating / score1,367.62 | Votes316 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank131 | Rating / score1,374.88 | Votes289 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank132 | Rating / score1,337.74 | Votes133 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank133 | Rating / score1,369.65 | Votes446 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank133 | Rating / score1,325.17 | Votes204 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank134 | Rating / score1,358.85 | Votes3,667 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry software and it services | Rank134 | Rating / score1,374.05 | Votes2,410 | ObservationsN/A | Result date |
| Arenatext style control | Categorymulti turn | Rank134 | Rating / score1,361.50 | Votes1,088 | 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 | Context204.8K | Updated |
| ProviderMiniMax Token Plan (minimax.io) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderNanoGPT | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.17 | Output / 1M$1.53 | Context200K | Updated |
| ProviderLLM Gateway | Provider model IDminimax/minimax-m2 | Regionglobal | Input / 1M$0.20 | Output / 1M$1 | Context196.6K | Updated |
| ProviderDevPass (LLM 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 | Context204.8K | Updated |
| ProviderMiniMax (minimaxi.com) | Provider model IDMiniMax-M2 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | 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 | Context204.8K | 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 |
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 Speed70.00 tok/s | Catalog Latency4.00 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 | LLMBoard43.62 | Parameters230B | Context1M | Max output1M | Open weightsYes | LicenseMIT |
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 designed for agents, coding, reasoning, and tool calling across Shell, Browser, Python, and other MCP tools. Its weights, API, and deployment guides are available on Hugging Face, vLLM, and SGLang.
Data as of 2026-09-08.
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 1M token context window.
Yes. The default version is marked as open weight under MIT.
20 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.