Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.7
~57
Winner · 0/8 categoriesOriOn-Qwen-32B
Coming soon
0/8 categoriesMiniMax M2.7· OriOn-Qwen-32B
Benchmark data for MiniMax M2.7 and OriOn-Qwen-32B is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for OriOn-Qwen-32B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
OriOn-Qwen-32B has the larger context window at 262K, compared with 200K for MiniMax M2.7.
| Benchmark | MiniMax M2.7 | OriOn-Qwen-32B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 57% | — |
| Toolathlon | 46.3% | — |
| MLE-Bench Lite | 66.6% | — |
| MM-ClawBench | 62.7% | — |
| Coding | ||
| SWE-bench Pro | 56.2% | — |
| SWE Multilingual | 76.5% | — |
| Multi-SWE Bench | 52.7% | — |
| VIBE-Pro | 55.6% | — |
| NL2Repo | 39.8% | — |
| Multimodal & Grounded | ||
| GDPval-AA | 1495 | — |
| Reasoning | ||
| Coming soon | ||
| Knowledge | ||
| Coming soon | ||
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
MiniMax M2.7: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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