MiniMax model product
MiniMax M3 is the first open-weight model to combine three frontier capabilities: top-tier coding and agentic performance, a 1M-token context window, and native multimodality.
Updated Aug 12, 2026. Default version: MiniMax M3
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiniMax M3.
| BankerToolBench | 76.1% | 01 | 1 | 100.0% | C | |
| DRACO | 73.2% | 01 | 1 | 100.0% | C | |
| GDPval-Rubrics | 74.8% | 01 | 1 | 100.0% | C | |
| IMO 2025 | 35 points | 01 | 2 | 100.0% | C | |
| KernelBench Hard | 28.8% | 01 | 1 | 100.0% | C | |
| LiveSQLBench | 40.2% | 01 | 1 | 100.0% | C | |
| LOCA-Bench (256k) | 49.3% | 01 | 1 | 100.0% | C | |
| OmniDocBench 1.5 | 91.6% | 01 | 17 | 100.0% | C | |
| PostTrainBench | 37.1% | 01 | 5 | 100.0% | C | |
| SpreadSheetBench-v1 | 89.3% | 01 | 3 | 100.0% | C | |
| SVG-Bench | 63.7% | 01 | 1 | 100.0% | C | |
| SWE Atlas - Codebase QnA | 37.9% | 01 | 1 | 100.0% | C | |
| SWE Atlas - Test Writing | 30.8% | 01 | 1 | 100.0% | C | |
| SWE-fficiency | 34.8% | 01 | 1 | 100.0% | C | |
| USAMO 2026 | 36 points | 01 | 3 | 100.0% | C | |
| VIBE-V2 | 50.1% | 01 | 1 | 100.0% | C | |
| YC-Bench | 2,100,000 points | 01 | 1 | 100.0% | C | |
| CL-bench | 20.5% | 02 | 2 | 0.0% | C | |
| Claw-Eval | 74.5% | 03 | 13 | 83.3% | C | |
| PaperBench | 52.6% | 03 | 3 | 0.0% | C | |
| APEX-Agents | 27.7% | 06 | 7 | 16.7% | C | |
| Video-MME | 85.4% | 06 | 17 | 68.8% | C | |
| OfficeQA Pro | 45.1% | 07 | 7 | 0.0% | C | |
| VideoMMMU | 84.6% | 08 | 26 | 72.0% | C | |
| Finance Agent v2 | 48.3% | 09 | 26 | 68.0% | B | |
| NL2Repo | 42.1% | 09 | 14 | 38.5% | C | |
| SWE-Bench Verified | 80.5% | 10 | 105 | 91.3% | C | |
| FrontierCode 1.1 | 14.7% | 14 | 15 | 7.1% | B | |
| MCP Atlas | 74.2% | 14 | 31 | 56.7% | C | |
| SWE-Bench Pro | 59.0% | 14 | 45 | 70.5% | C | |
| BrowseComp | 83.5% | 16 | 58 | 73.7% | C | |
| OSWorld-Verified | 70.1% | 16 | 23 | 31.8% | C | |
| Terminal-Bench 2.1 | 66.0% | 16 | 19 | 16.7% | C | |
| MMMU-Pro | 78.1% | 21 | 66 | 69.2% | C | |
| LiveBench | 70.0% | 31 | 38 | 18.9% | B |
Preference and agent-evaluation results for the default version.
| agent bash recovery steps | overall | 22 | 0.1 | N/A | 50.4K | |
| document | overall | 26 | 1434.8 | 6,263 | N/A | |
| agent tool hallucination | overall | 29 | 0.0 | N/A | 1.6M | |
| webdev | overall | 31 | 1491.3 | 9,669 | N/A | |
| document style control | overall | 32 | 1433.5 | 6,263 | N/A | |
| agent | overall | 33 | -0.0 | N/A | 1.7M | |
| agent steerability | overall | 33 | -0.0 | N/A | 27.4K | |
| agent praise complaint | overall | 36 | -0.1 | N/A | 6.8K | |
| agent task outcome explicit | overall | 36 | -0.1 | N/A | 17.6K | |
| vision | overall | 42 | 1257.7 | 10,984 | N/A | |
| vision style control | overall | 47 | 1239.7 | 10,984 | N/A | |
| text | overall | 71 | 1435.2 | 36,687 | N/A | |
| text style control | overall | 71 | 1443.2 | 36,687 | N/A | |
| text factuality | overall | 83 | 1435.4 | 36,669 | N/A |
Provider-specific output speed and catalog latency for MiniMax M3. Runtime does not affect the capability score.
| Fireworks | 452.211 tok/s | 0.534 s | 512K | 131.1K | |
| Together | 192.197 tok/s | 0.482 s | 1M | 131.1K | |
| MiniMax | 78.826 tok/s | 1.091 s | 1M | 1M | |
| Novita | 44.113 tok/s | 3.205 s | 1M | 131.1K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Nvidia | minimaxai/minimax-m3 | global | N/A | N/A | 1M | |
| Kenari | minimax-m3 | global | N/A | N/A | 512K | |
| MiniMax Token Plan (minimax.io) | MiniMax-M3 | global | N/A | N/A | 1M | |
| MiniMax Token Plan (minimaxi.com) | MiniMax-M3 | global | N/A | N/A | 1M | |
| EmpirioLabs AI | minimax-m3 | global | $0.225 | $0.90 | 1M | |
| Weights & Biases | MiniMaxAI/MiniMax-M3 | global | $0.23 | $0.96 | 262.1K | |
| Lilac | minimaxai/minimax-m3 | global | $0.28 | $1.1 | 1M | |
| Deep Infra | MiniMaxAI/MiniMax-M3 | global | $0.28 | $1.1 | 524.3K | |
| Fireworks AI | accounts/fireworks/models/minimax-m3 | global | $0.30 | $1.2 | 512K | |
| OpenCode Go | minimax-m3 | global | $0.30 | $1.2 | 1M | |
| Nebius Token Factory | MiniMaxAI/MiniMax-M3 | global | $0.30 | $1.2 | 1M | |
| NanoGPT | minimax/minimax-m3 | global | $0.30 | $1.2 | 512K | |
| LLM Gateway | minimax-m3 | global | $0.30 | $1.2 | 1M | |
| OpenCode Zen | minimax-m3 | global | $0.30 | $1.2 | 512K | |
| ClinePass | cline-pass/minimax-m3 | global | $0.30 | $1.2 | 512K | |
| Pioneer | MiniMaxAI/MiniMax-M3 | global | $0.30 | $1.2 | 1M | |
| Abacus | MiniMaxAI/MiniMax-M3 | global | $0.30 | $1.2 | 1M | |
| Together AI | MiniMaxAI/MiniMax-M3 | global | $0.30 | $1.2 | 524.3K | |
| MiniMax (minimax.io) | MiniMax-M3 | global | $0.30 | $1.2 | 1M | |
| Kilo Gateway | minimax/minimax-m3 | global | $0.30 | $1.2 | 524.3K | |
| Merge Gateway | minimax/minimax-m3 | global | $0.30 | $1.2 | 1M | |
| Vercel AI Gateway | minimax/minimax-m3 | global | $0.30 | $1.2 | 1M | |
| OpenRouter | minimax/minimax-m3 | global | $0.30 | $1.2 | 1M | |
| Hugging Face | MiniMaxAI/MiniMax-M3 | global | $0.30 | $1.2 | 524.3K | |
| MiniMax (minimaxi.com) | MiniMax-M3 | global | $0.30 | $1.2 | 1M | |
| Charm Hyper | minimax-m3 | global | $0.3266 | $1.31 | 512K | |
| CrossModel | minimax/minimax-m3 | global | $0.33 | $1.32 | 1M | |
| Wafer | MiniMax-M3 | global | $0.33 | $1.32 | 1M | |
| Cortecs | minimax-m3 | global | $0.395 | $1.98 | 1M | |
| TensorX | minimax/minimax-m3 | global | $0.40 | $2 | 1M | |
| ZenMux | minimax/minimax-m3 | global | $0.60 | $2.4 | 512K | |
| Synthetic | hf:MiniMaxAI/MiniMax-M3 | global | $0.60 | $1.2 | 524.3K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| MiniMax M3 | 71.3 | 428B | 512K | 128K | Yes | MIT |
Key information about MiniMax M3 and its available data.
MiniMax M3 is the first open-weight model to combine three frontier capabilities: top-tier coding and agentic performance, a 1M-token context window, and native multimodality.
It is powered by MiniMax Sparse Attention (MSA), a new sparse attention architecture that partitions the KV cache into blocks to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with more than 9x faster prefill and more than 15x faster decode while matching full attention on most capabilities.
Trained with mixed-modality data from step zero across 100T+ tokens, M3 natively supports image and video input and can operate a desktop computer. 7. M3 supports toggling thinking on or off at request time.
Data as of 2026-08-11.
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.
Common questions about MiniMax M3.
MiniMax M3's default version was released on Jun 1, 2026.
MiniMax M3'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 $0.225 input and $0.90 output via EmpirioLabs AI.
MiniMax M3 was created by MiniMax.
The default version has a 512K token context window.
Yes. The default version is marked as open weight under MIT.
33 provider offerings are linked to the default version.
Nearby ranked alternatives include Claude Sonnet 4.6, GPT-5.2-Pro, GPT-5.2.