Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
0/8 categoriesGPT-5.4 Pro
92
Winner · 4/8 categoriesGemma 4 26B A4B· GPT-5.4 Pro
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the aggregate, 92 to 64. 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 reasoning, where it averages 95.7 against 44.1. The single biggest benchmark swing on the page is MRCRv2, 44.1% to 97%.
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 Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Gemma 4 26B A4B.
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 | Gemma 4 26B A4B | GPT-5.4 Pro |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 90% |
| BrowseComp | — | 89.3% |
| OSWorld-Verified | — | 84% |
| CodingGPT-5.4 Pro wins | ||
| LiveCodeBench | 77.1% | 86% |
| HumanEval | — | 95% |
| SWE-bench Verified | — | 86% |
| SWE-bench Pro | — | 89% |
| Multimodal & GroundedGPT-5.4 Pro wins | ||
| MMMU-Pro | 73.8% | 94% |
| OfficeQA Pro | — | 96% |
| ReasoningGPT-5.4 Pro wins | ||
| BBH | 64.8% | 98% |
| MRCRv2 | 44.1% | 97% |
| MuSR | — | 95% |
| LongBench v2 | — | 95% |
| KnowledgeGPT-5.4 Pro wins | ||
| GPQA | 82.3% | 99% |
| MMLU-Pro | 82.6% | 94% |
| HLE | 17.2% | 50% |
| HLE w/o tools | 8.7% | — |
| MMLU | — | 99% |
| SuperGPQA | — | 97% |
| FrontierScience | — | 92% |
| SimpleQA | — | 97% |
| Instruction Following | ||
| IFEval | — | 97% |
| Multilingual | ||
| MGSM | — | 97% |
| MMLU-ProX | — | 95% |
| 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 64. The biggest single separator in this matchup is MRCRv2, where the scores are 44.1% and 97%.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 84.9 versus 56.1. Inside this category, HLE 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 77.1. Inside this category, LiveCodeBench 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 44.1. Inside this category, MRCRv2 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 94.9 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.