MiniMax model product
1 is an enhanced large language model focused on multi-language programming and real-world complex tasks.
Updated Aug 17, 2026. Default version: MiniMax M2.1
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiniMax M2.1.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkOctoCodingBench | Score26.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSWE-Perf | Score3.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSWE-Review | Score8.9% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSWT-Bench | Score69.3% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE | Score88.6% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE Android | Score89.7% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE Backend | Score86.7% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE iOS | Score88.0% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE Simulation | Score87.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVIBE Web | Score91.5% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench | Score47.9% | Rank02 | Participants25 | Percentile95.8% | EvidenceC | Evaluated |
| BenchmarkMulti-SWE-Bench | Score49.4% | Rank03 | Participants6 | Percentile60.0% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score88.0% | Rank05 | Participants134 | Percentile97.0% | EvidenceC | Evaluated |
| BenchmarkAA-LCR | Score62.0% | Rank12 | Participants18 | Percentile35.3% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score39.0% | Rank14 | Participants21 | Percentile35.0% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score72.5% | Rank15 | Participants38 | Percentile62.2% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score78.0% | Rank16 | Participants75 | Percentile79.7% | EvidenceC | Evaluated |
| BenchmarkTau2 Telecom | Score87.0% | Rank18 | Participants35 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score70.0% | Rank21 | Participants34 | Percentile39.4% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score43.5% | Rank28 | Participants37 | Percentile25.0% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score62.0% | Rank34 | Participants62 | Percentile45.9% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score22.0% | Rank60 | Participants99 | Percentile39.8% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score81.0% | Rank69 | Participants115 | Percentile40.4% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score67.0% | Rank76 | Participants111 | Percentile31.8% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score81.0% | Rank87 | Participants239 | Percentile63.9% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categoryoverall | Rank70 | Rating / score1387.0 | Votes7,293 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank122 | Rating / score1411.2 | Votes16,747 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank142 | Rating / score1391.1 | Votes17,168 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank160 | Rating / score1384.1 | Votes17,168 | 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-M2.1 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderMiniMax Token Plan (minimax.io) | Provider model IDMiniMax-M2.1 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context204.8K | Updated |
| ProviderLLM Gateway | Provider model IDminimax-m2.1 | Regionglobal | Input / 1M$0.27 | Output / 1M$1.1 | Context204.8K | Updated |
| ProviderMeganova | Provider model IDMiniMaxAI/MiniMax-M2.1 | Regionglobal | Input / 1M$0.28 | Output / 1M$1.2 | Context196.6K | Updated |
| ProviderHugging Face | Provider model IDMiniMaxAI/MiniMax-M2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderJiekou.AI | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderOpenRouter | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderAmazon Bedrock | Provider model IDminimax.minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMerge Gateway | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderZenMux | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204K | Updated |
| ProviderOfox | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| Provider302.AI | Provider model IDMiniMax-M2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context1M | Updated |
| ProviderOpenCode Zen | Provider model IDminimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMiniMax (minimaxi.com) | Provider model IDMiniMax-M2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderVercel AI Gateway | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderEden AI | Provider model IDminimax/MiniMax-M2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderNovitaAI | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderKilo Gateway | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderMiniMax (minimax.io) | Provider model IDMiniMax-M2.1 | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context204.8K | Updated |
| ProviderNanoGPT | Provider model IDminimax/minimax-m2.1 | Regionglobal | Input / 1M$0.33 | Output / 1M$1.32 | Context200K | Updated |
| ProviderCortecs | Provider model IDminimax-m2.1 | Regionglobal | Input / 1M$0.359 | Output / 1M$1.44 | Context196K | Updated |
| ProviderMoark | Provider model IDMiniMax-M2.1 | Regionglobal | Input / 1M$2.1 | Output / 1M$8.4 | Context204.8K | 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 M2.1. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderMiniMax | Output Speed100 tok/s | Catalog Latency3 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 M2.1 | Released | LLMBoard53.3 | Parameters230B | Context204.8K | Max output131.1K | 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 M2.1 and its available data.
1 is an enhanced large language model focused on multi-language programming and real-world complex tasks. 5.
1 significantly strengthens native Android and iOS development, delivers enhanced design comprehension and aesthetic expression for web/app scenarios, and provides more concise responses with improved speed and reduced token consumption.
It excels across various coding agent frameworks including Claude Code, Droid (Factory AI), Cline, Kilo Code, Roo Code, and BlackBox.
Data as of 2026-08-17.
Common questions about MiniMax M2.1.
MiniMax M2.1's default version was released on Dec 23, 2025.
MiniMax M2.1'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 $0.27 input and $1.1 output via LLM Gateway.
MiniMax M2.1 was created by MiniMax.
The default version has a 204.8K token context window.
Yes. The default version is marked as open weight under MIT.
24 provider offerings are linked to the default version.
Nearby ranked alternatives include GLM 4.6, GPT-5.5-Instant, Grok 4 Fast.