Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 nano
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Winner · 0/8 categoriesPharia-1-LLM-7B-control-aligned
Coming soon
0/8 categoriesGPT-5.4 nano· Pharia-1-LLM-7B-control-aligned
Benchmark data for GPT-5.4 nano 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-5.4 nano has the larger context window at 400K, compared with 8K for Pharia-1-LLM-7B-control-aligned.
| Benchmark | GPT-5.4 nano | Pharia-1-LLM-7B-control-aligned |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 46.3% | — |
| OSWorld-Verified | 39% | — |
| MCP Atlas | 56.1% | — |
| Toolathlon | 35.5% | — |
| tau2-bench | 92.5% | — |
| Coding | ||
| SWE-bench Pro | 52.4% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 66.1% | — |
| MMMU-Pro w/ Python | 69.5% | — |
| OmniDocBench 1.5 | 0.2419 | — |
| Reasoning | ||
| MRCRv2 | 38.7% | — |
| MRCR v2 64K-128K | 44.2% | — |
| MRCR v2 128K-256K | 33.1% | — |
| Graphwalks BFS 128K | 73.4% | — |
| Graphwalks Parents 128K | 50.8% | — |
| Knowledge | ||
| GPQA | 82.8% | — |
| HLE | 37.7% | — |
| HLE w/o tools | 24.3% | — |
| 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.
GPT-5.4 nano: $0.20 input / $1.25 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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