Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 Pro
92
Winner · 7/8 categoriesQwen3.5-27B
71
0/8 categoriesGPT-5.4 Pro· Qwen3.5-27B
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the aggregate, 92 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 87.7 against 51.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 90% to 41.6%.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. That is roughly Infinityx on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 262K for Qwen3.5-27B.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | GPT-5.4 Pro | Qwen3.5-27B |
|---|---|---|
| AgenticGPT-5.4 Pro wins | ||
| Terminal-Bench 2.0 | 90% | 41.6% |
| BrowseComp | 89.3% | 61% |
| OSWorld-Verified | 84% | 56.2% |
| tau2-bench | — | 79% |
| CodingGPT-5.4 Pro wins | ||
| HumanEval | 95% | — |
| SWE-bench Verified | 86% | 72.4% |
| LiveCodeBench | 86% | 80.7% |
| SWE-bench Pro | 89% | — |
| Multimodal & GroundedGPT-5.4 Pro wins | ||
| MMMU-Pro | 94% | 75% |
| ReasoningGPT-5.4 Pro wins | ||
| MuSR | 95% | — |
| BBH | 98% | — |
| LongBench v2 | 95% | 60.6% |
| MRCRv2 | 97% | — |
| KnowledgeGPT-5.4 Pro wins | ||
| MMLU | 99% | — |
| GPQA | 99% | 85.5% |
| SuperGPQA | 97% | 65.6% |
| MMLU-Pro | 94% | 86.1% |
| HLE | 50% | — |
| FrontierScience | 92% | — |
| SimpleQA | 97% | — |
| Instruction FollowingGPT-5.4 Pro wins | ||
| IFEval | 97% | 95% |
| MultilingualGPT-5.4 Pro wins | ||
| MGSM | 97% | — |
| MMLU-ProX | 95% | 82.2% |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 99% | — |
| HMMT Feb 2023 | 96% | — |
| HMMT Feb 2024 | 98% | — |
| HMMT Feb 2025 | 97% | — |
| BRUMO 2025 | 97% | — |
| MATH-500 | 99% | — |
GPT-5.4 Pro is ahead overall, 92 to 71. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 90% and 41.6%.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 84.9 versus 80.6. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 87.2 versus 77.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 95.7 versus 60.6. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 87.7 versus 51.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 75. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 95. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 95.7 versus 82.2. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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