MiniMax model product
MiniMax M2.1 is an enhanced large language model focused on multi-language programming and real-world complex tasks. It features exceptional capabilities across Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript and more, with industry-leading multilingual performance that outperforms Claude Sonnet 4.5 and approaches Claude Opus 4.5. M2.1 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.
Updated Aug 10, 2026. Default version: MiniMax M2.1
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version MiniMax M2.1.
| OctoCodingBench | 0.3 | 1 | 1 | 100.0% | C | |
| SWE-Perf | 0.0 | 1 | 1 | 100.0% | C | |
| SWE-Review | 0.1 | 1 | 1 | 100.0% | C | |
| SWT-Bench | 0.7 | 1 | 1 | 100.0% | C | |
| VIBE | 0.9 | 1 | 1 | 100.0% | C | |
| VIBE Android | 0.9 | 1 | 1 | 100.0% | C | |
| VIBE Backend | 0.9 | 1 | 1 | 100.0% | C | |
| VIBE iOS | 0.9 | 1 | 1 | 100.0% | C | |
| VIBE Simulation | 0.9 | 1 | 1 | 100.0% | C | |
| VIBE Web | 0.9 | 1 | 1 | 100.0% | C | |
| Terminal-Bench | 0.5 | 2 | 25 | 95.8% | C | |
| Multi-SWE-Bench | 0.5 | 3 | 6 | 60.0% | C | |
| MMLU-Pro | 0.9 | 4 | 129 | 97.7% | C | |
| AA-LCR | 0.6 | 10 | 15 | 35.7% | C | |
| SciCode | 0.4 | 12 | 18 | 35.3% | C | |
| LiveCodeBench | 0.8 | 14 | 73 | 81.9% | C | |
| SWE-bench Multilingual | 0.7 | 14 | 34 | 60.6% | C | |
| IFBench | 0.7 | 17 | 28 | 40.7% | C | |
| Tau2 Telecom | 0.9 | 18 | 35 | 50.0% | C | |
| Toolathlon | 0.4 | 22 | 31 | 30.0% | C | |
| BrowseComp | 0.6 | 33 | 58 | 43.9% | C | |
| Humanity's Last Exam | 0.2 | 55 | 92 | 40.7% | C | |
| AIME 2025 | 0.8 | 69 | 114 | 39.8% | C | |
| SWE-Bench Verified | 0.7 | 70 | 104 | 33.0% | C | |
| GPQA | 0.8 | 82 | 233 | 65.1% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| MiniMax Token Plan (minimax.io) | MiniMax-M2.1 | global | N/A | N/A | 204.8K | |
| MiniMax Token Plan (minimaxi.com) | MiniMax-M2.1 | global | N/A | N/A | 204.8K | |
| LLM Gateway | minimax-m2.1 | global | $0.27 | $1.1 | 204.8K | |
| OpenCode Zen | minimax-m2.1 | global | $0.30 | $1.2 | 204.8K | |
| 302.AI | MiniMax-M2.1 | global | $0.30 | $1.2 | 1M | |
| MiniMax (minimax.io) | MiniMax-M2.1 | global | $0.30 | $1.2 | 204.8K | |
| MiniMax (minimaxi.com) | MiniMax-M2.1 | global | $0.30 | $1.2 | 204.8K | |
| Cortecs | minimax-m2.1 | global | $0.359 | $1.44 | 196K | |
| Moark | MiniMax-M2.1 | global | $2.1 | $8.4 | 204.8K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| MiniMax M2.1 | 54.8 | 230B | 204.8K | 131.1K | Yes | MIT |
A concise description based on the published model registry.
MiniMax M2.1 is an enhanced large language model focused on multi-language programming and real-world complex tasks. It features exceptional capabilities across Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript and more, with industry-leading multilingual performance that outperforms Claude Sonnet 4.5 and approaches Claude Opus 4.5. M2.1 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.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
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 published LLMBoard score.
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 is published under MiniMax in the model registry.
The default version has a 204.8K token context window.
Yes. The default version is marked as open weight under MIT.
9 published provider offerings are linked to the default version.
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