MiniMax M2.7
ModelOpen sourceActiveby MiniMax · family “minimax-m”
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent... (description from the OpenRouter listing)
in: textout: textReasoningTool useStructured output
Epoch Capabilities Index
145.8 #74 of 268
90% CI 138.4 – 147.9
Released
18 Mar 2026
Context window
205K tokens
Max output
131K tokens
Input $ / 1M tokens
$0.30
Output $ / 1M tokens
$1.20
Cached input $ / 1M
$0.060
Each benchmark shown separately with its own source
Benchmark results (4)
| Benchmark | Domain | Score | vs best recorded | Setting | Run | Source |
|---|---|---|---|---|---|---|
| ExploitBench | coding | 13.3% | 18% | — | — | External ↗ |
| ProofBench | math | 3.0% | 3% | — | — | External ↗ |
| Terminal Bench | agents | 45.1% | 53% | agent: IndusAGI Coding Agent | 18 Mar 2026 | External ↗ |
| WeirdML | coding | 37.0% ±0.0 | 39% | — | — | External ↗ |
Source: Epoch AI Benchmarking Hub (CC BY 4.0). “External” rows are leaderboard results Epoch collects from third parties. Best reported setting per benchmark is shown.
API list price over time
Price history
$ per 1M tokens
8 observations (OpenRouter listing + Internet Archive snapshots). History accumulates with every ingest run; a single point means no change has been observed yet.
Events
- Price rise5h agoMiniMax M2.7 API price raisedOpenRouter models API
- Open release7mo agoMiniMax releases MiniMax M2.7Epoch AI Benchmarking Hub