Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
OriOn-Mistral-24B
Coming soon
0/8 categoriesQwen3.5 397B
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Winner · 0/8 categoriesOriOn-Mistral-24B· Qwen3.5 397B
Benchmark data for OriOn-Mistral-24B and Qwen3.5 397B 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 128K for Qwen3.5 397B.
| Benchmark | OriOn-Mistral-24B | Qwen3.5 397B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 58% |
| BrowseComp | — | 62% |
| OSWorld-Verified | — | 52% |
| Coding | ||
| HumanEval | — | 75% |
| SWE-bench Verified | — | 42% |
| LiveCodeBench | — | 39% |
| SWE-bench Pro | — | 42% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 56% |
| Reasoning | ||
| MuSR | — | 78% |
| BBH | — | 82% |
| MRCRv2 | — | 71% |
| Knowledge | ||
| MMLU | — | 83% |
| GPQA | — | 82% |
| SuperGPQA | — | 80% |
| MMLU-Pro | — | 73% |
| HLE | — | 10% |
| FrontierScience | — | 71% |
| SimpleQA | — | 80% |
| Instruction Following | ||
| IFEval | — | 82% |
| Multilingual | ||
| MGSM | — | 82% |
| MMLU-ProX | — | 77% |
| Mathematics | ||
| AIME 2023 | — | 83% |
| AIME 2024 | — | 85% |
| AIME 2025 | — | 84% |
| HMMT Feb 2023 | — | 79% |
| HMMT Feb 2024 | — | 81% |
| HMMT Feb 2025 | — | 80% |
| BRUMO 2025 | — | 82% |
| MATH-500 | — | 81% |
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.
Qwen3.5 397B: $0.00 input / $0.00 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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