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MiniMax M2
MiniMax
|
|
|---|---|
| Overview | |
| Provider | MiniMax |
| Our Score | 47 |
| Performance Tier | Efficient |
| Best For | – |
| Released | Oct 2025 |
| Knowledge Cutoff | – |
| Dimension Scores | |
| Intelligence | 4.7 / 10 |
| Technical | 0.0 / 10 |
| Content | 7.2 / 10 |
| Value | 8.0 / 10 |
| Business Fit | 7.5 / 10 |
| Pricing | |
| Input / 1M tokens | $0.26 |
| Output / 1M tokens | $1.02 |
| Performance | |
| Context Window | 205K |
| Throughput (tok/s) | – |
| Latency (TTFT ms) | – |
| Parameters | – |
| Intelligence Indices (Artificial Analysis) | |
| Intelligence | 28.9 |
| Coding | – |
| Math | 78.3 |
| Agentic | – |
| Benchmarks | |
| MMLU-Pro | 0.8 |
| MMLU | – |
| GPQA Diamond | 0.8 |
| GPQA (HF) | – |
| LiveCodeBench | 0.8 |
| HumanEval | – |
| MATH-500 | – |
| AIME '25 | 0.8 |
| AIME | – |
| MATH (HF) | – |
| Humanity's Last Exam | 0.1 |
| SWE-bench | – |
| IFBench | 0.7 |
| IFEval | – |
| Capabilities | |
| Tool Use | Yes |
| Function Calling | Yes |
| Vision | No |
| Open Source | No |
| License | – |
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