MiniMax: MiniMax M1
Analysis Summary
MiniMax: MiniMax M1 sits in the Specialist tier on our leaderboard, ranked #123 of 525 published models on overall intelligence. At $0.400 input and $2.20 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, and reasoning.
Editorial notes
MiniMax M1 posts strong math (61.0) and livecodebench (0.711) scores relative to its intelligence index, with a 1M context and tool use; overall reasoning capability is moderate but math-heavy workflows benefit.
Assessed April 26, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M1 stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
minimax/minimax-m1
|
| Provider | minimax |
| Release Date | June 17, 2025 |
| Context Length | 1,000,000 tokens |
| Max Completion | 40,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $2.20 | $0.002200 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
