Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1
67
Winner · 0/8 categoriesOriOn-Mistral-24B
Coming soon
0/8 categorieso1· OriOn-Mistral-24B
Benchmark data for o1 and OriOn-Mistral-24B is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for OriOn-Mistral-24B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
OriOn-Mistral-24B has the larger context window at 344K, compared with 200K for o1.
| Benchmark | o1 | OriOn-Mistral-24B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 66% | — |
| BrowseComp | 72% | — |
| OSWorld-Verified | 60% | — |
| Coding | ||
| SWE-bench Verified | 41% | — |
| SWE-bench Pro | 50% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 68% | — |
| OfficeQA Pro | 74% | — |
| Reasoning | ||
| LongBench v2 | 79% | — |
| MRCRv2 | 77% | — |
| Knowledge | ||
| MMLU | 91.8% | — |
| GPQA | 75.7% | — |
| FrontierScience | 65% | — |
| Instruction Following | ||
| IFEval | 92.2% | — |
| Multilingual | ||
| MMLU-ProX | 77% | — |
| Mathematics | ||
| AIME 2024 | 74.3% | — |
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.
o1: $15.00 input / $60.00 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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