MiniMax M2.7 Model Released with Improved Coding Performance
MiniMax M2.7 Release Details
MiniMax has released M2.7, the latest version of their AI model. The model shows significant improvements over the previous M2.5 version, particularly for coding tasks.
Key Performance Metrics
- Scores 56% on SWE-Pro benchmark, putting it in similar territory to Claude Opus for real-world coding tasks
- Hallucination improved from -40 to +1 on the omniscience index
- Ran 100+ rounds of self-improvement loops on its own training infrastructure, resulting in 30% performance improvement
- Maintains pricing at $0.30 per million input tokens
Practical Applications
When tested with OpenClaw, M2.7 shows particular strength in agentic workflows including:
- Multi-step tasks
- Tool use
- Long context workflows
The model handles these scenarios better than the previous M2.5 version.
Additional Announcement
MiniMax also announced OpenRoom, an interactive GUI where AI characters can interact with their environment rather than just text. This appears to be in early demo stages.
📖 Read the full source: r/openclaw
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