Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini
70
Winner · 0/8 categoriesOriOn-Qwen-32B
Coming soon
0/8 categorieso3-mini· OriOn-Qwen-32B
Benchmark data for o3-mini 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 o3-mini.
| Benchmark | o3-mini | OriOn-Qwen-32B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 67% | — |
| BrowseComp | 74% | — |
| OSWorld-Verified | 61% | — |
| Coding | ||
| SWE-bench Verified | 49.3% | — |
| SWE-bench Pro | 57% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 73% | — |
| OfficeQA Pro | 76% | — |
| Reasoning | ||
| LongBench v2 | 82% | — |
| MRCRv2 | 80% | — |
| Knowledge | ||
| MMLU | 86.9% | — |
| GPQA | 77.2% | — |
| FrontierScience | 66% | — |
| Instruction Following | ||
| IFEval | 93.9% | — |
| Multilingual | ||
| MMLU-ProX | 73% | — |
| Mathematics | ||
| AIME 2024 | 87.3% | — |
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.
o3-mini: $1.10 input / $4.40 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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