Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.7
~57
Winner · 0/8 categoriesPharia-1-LLM-7B-control-aligned
Coming soon
0/8 categoriesMiniMax M2.7· Pharia-1-LLM-7B-control-aligned
Benchmark data for MiniMax M2.7 and Pharia-1-LLM-7B-control-aligned is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for Pharia-1-LLM-7B-control-aligned yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
MiniMax M2.7 has the larger context window at 200K, compared with 8K for Pharia-1-LLM-7B-control-aligned.
| Benchmark | MiniMax M2.7 | Pharia-1-LLM-7B-control-aligned |
|---|---|---|
| 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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