MiniMax
MiniMax-M2 redefines efficiency for agents. It is a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.
MiniMax model releasesRank #176 across 600
No rank
Rank #128 across 379
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
Streaming speed is not measured for this model yet.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 28.3 | #176 |
| Artificial Analysis Math Index | math | 78.3 | #74 |
| MMLU-Pro | reasoning | 82.0% | #69 |
| GPQA | reasoning | 77.7% | #183 |
| Humanity's Last Exam |
| reasoning |
| 12.5% |
| #177 |
| LiveCodeBench | coding | 82.6% | #21 |
| SciCode | coding, reasoning | 36.1% | #234 |
| Blended Price | cost | $0.525/M | #128 |
| Input Price | cost | $0.300/M | #139 |
| Output Price | cost | $1.20/M | #136 |
| Value Index | cost, overall | 53.9 | #88 |