Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-OSS 120B
49
Winner · 0/8 categoriesPharia-1-LLM-7B-control-aligned
Coming soon
0/8 categoriesGPT-OSS 120B· Pharia-1-LLM-7B-control-aligned
Benchmark data for GPT-OSS 120B 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.
GPT-OSS 120B has the larger context window at 128K, compared with 8K for Pharia-1-LLM-7B-control-aligned.
| Benchmark | GPT-OSS 120B | Pharia-1-LLM-7B-control-aligned |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 43% | — |
| BrowseComp | 50% | — |
| OSWorld-Verified | 43% | — |
| Coding | ||
| HumanEval | 43% | — |
| SWE-bench Verified | 29% | — |
| LiveCodeBench | 25% | — |
| SWE-bench Pro | 31% | — |
| SWE-Rebench | 33.3% | — |
| React Native Evals | 66.4% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 42% | — |
| OfficeQA Pro | 57% | — |
| Reasoning | ||
| MuSR | 47% | — |
| BBH | 73% | — |
| LongBench v2 | 58% | — |
| MRCRv2 | 59% | — |
| Knowledge | ||
| MMLU | 90% | — |
| GPQA | 80.9% | — |
| SuperGPQA | 48% | — |
| MMLU-Pro | 90% | — |
| HLE | 5% | — |
| FrontierScience | 49% | — |
| SimpleQA | 49% | — |
| Instruction Following | ||
| IFEval | 79% | — |
| Multilingual | ||
| MGSM | 72% | — |
| MMLU-ProX | 70% | — |
| Mathematics | ||
| AIME 2023 | 51% | — |
| AIME 2024 | 53% | — |
| AIME 2025 | 52% | — |
| HMMT Feb 2023 | 47% | — |
| HMMT Feb 2024 | 49% | — |
| HMMT Feb 2025 | 48% | — |
| BRUMO 2025 | 50% | — |
| MATH-500 | 71% | — |
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.
GPT-OSS 120B: $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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