MiniMax-M1: benchmark results
MiniMax's open-weight 456B MoE reasoning model (45.9B active) using hybrid lightning attention to support a 1M-token context (June 2025). Provider: MiniMax. Released 2025-06-16. Access: Open.
Unified ELO 1562 ± 1, rank #396 of 1392 rated models, from 31 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Context Arena MRCR (2-needle) | 30.4 | AUC@1M (%) | 77.5 |
| LM Market Cap LMC Score | 70.8 | LMC Score (0-100) | 64.1 |
| SnakeBench | 24.1 | TrueSkill Rating | 60.6 |
| BenchTable | 52.3 | Total Score (%) | 56.7 |
| Wolfram LLM Benchmarking Project | 43.7 | Correct Functionality (%) | 55.1 |
| Chatbot Arena (Text - English) | 1385 | Arena Score | 54.9 |
| Chatbot Arena (Text - Coding) | 1416 | Arena Score | 54.1 |
| Chatbot Arena (Text - Hard Prompts) | 1380 | Arena Score | 53.3 |
| Chatbot Arena (Text) | 1364 | Elo | 53.3 |
| Chatbot Arena (Text - Math) | 1369 | Arena Score | 53.1 |
| LLM2014 Logic 2025-06 | 43.83 | Median Score | 52.8 |
| Chatbot Arena (Text - Multi-Turn) | 1357 | Arena Score | 52.5 |
Interactive version: theaggregate.ai/model?slug=minimax-m1 · How It Works · Data refreshed daily, snapshot 2026-09-05.