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 1590 ± 52, rank #504 of 1776 rated models, from 49 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| AA MATH-500 | 98 | Accuracy (%) | 91.1 |
| BenCzechMark | 76.36 | Average Score (%) | 91 |
| AA LiveCodeBench | 71.11 | Pass@1 (%) | 81.4 |
| LLM Stats (LongBench v2) | 61.5 | Score (%) | 80 |
| AA MMLU-Pro | 81.62 | Accuracy (%) | 75.9 |
| AA Omniscience - Software Engineering (SWE) - Julia | 28 | Accuracy (%) | 75.6 |
| LLM Stats (OpenAI-MRCR: 2 needle 128k) | 73.4 | Score (%) | 75 |
| LLM Stats (OpenAI-MRCR: 2 needle 1M) | 56.2 | Score (%) | 75 |
| AA Omniscience - Software Engineering (SWE) - Rust | 60 | Accuracy (%) | 72 |
| LLM Stats (AIME 2024) | 86 | Score (%) | 69.8 |
| ZeroEval MATH-500 | 96.8 | MATH-500 Score | 69.4 |
| AA-LCR | 54.3 | Score (self-reported) | 68.9 |
Interactive version: theaggregate.ai/model?slug=minimax-m1-80k · How the rankings work · Data refreshed daily, snapshot 2026-07-22.