MiniMax M1 80k: benchmark results
MiniMax M1 open hybrid-attention reasoning model at the 80K thinking budget. Provider: MiniMax. Released 2025-06-01. Access: Open.
Unified ELO 1557 ± 1, rank #414 of 1392 rated models, from 30 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| BenCzechMark | 71.78 | Average Score (%) | 86.3 |
| LLM Stats (LongBench v2) | 61.5 | Score (%) | 75 |
| LLM Stats (OpenAI-MRCR: 2 needle 128k) | 73.4 | Score (%) | 75 |
| LLM Stats (OpenAI-MRCR: 2 needle 1M) | 56.2 | Score (%) | 75 |
| ZeroEval MATH-500 | 96.8 | MATH-500 Score | 69.4 |
| LLM Stats (AIME 2024) | 86 | Score (%) | 69.2 |
| AA Omniscience - Science, Engineering & Mathematics | 31.5 | Accuracy (%) | 62.3 |
| AA Omniscience - Health | 23.12 | Accuracy (%) | 60.4 |
| BenchmarkList ECI | 118.86 | Capability Index (ECI) | 60 |
| AA Omniscience - Business | 18.72 | Accuracy (%) | 57.9 |
| AA Omniscience - Software Engineering (SWE) | 28.8 | Accuracy (%) | 56.2 |
| AA-Omniscience Accuracy | 22.47 | Accuracy (%) | 55.2 |
Interactive version: theaggregate.ai/model?slug=minimax-m1-80k · How It Works · Data refreshed daily, snapshot 2026-09-05.