Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
Winner · 3/8 categoriesLlama 4 Scout
44
0/8 categoriesGemma 4 26B A4B· Llama 4 Scout
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Llama 4 Scout only becomes the better choice if you need the larger 10M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B's sharpest advantage is in multimodal & grounded, where it averages 73.8 against 57.8. The single biggest benchmark swing on the page is MMLU-Pro, 82.6% to 51%.
Gemma 4 26B A4B is the reasoning model in the pair, while Llama 4 Scout is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Llama 4 Scout gives you the larger context window at 10M, 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 | Llama 4 Scout |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 39% |
| Coding | ||
| LiveCodeBench | 77.1% | — |
| HumanEval | — | 39% |
| Multimodal & GroundedGemma 4 26B A4B wins | ||
| MMMU-Pro | 73.8% | 60% |
| OfficeQA Pro | — | 55% |
| ReasoningGemma 4 26B A4B wins | ||
| BBH | 64.8% | 60% |
| MRCRv2 | 44.1% | — |
| MuSR | — | 43% |
| KnowledgeGemma 4 26B A4B wins | ||
| GPQA | 82.3% | — |
| MMLU-Pro | 82.6% | 51% |
| HLE | 17.2% | — |
| HLE w/o tools | 8.7% | — |
| SuperGPQA | — | 44% |
| SimpleQA | — | 45% |
| Instruction Following | ||
| IFEval | — | 68% |
| Multilingual | ||
| MMLU-ProX | — | 58% |
| Mathematics | ||
| AIME 2025 | — | 48% |
| HMMT Feb 2023 | — | 43% |
| HMMT Feb 2024 | — | 45% |
| HMMT Feb 2025 | — | 44% |
| BRUMO 2025 | — | 46% |
Gemma 4 26B A4B is ahead overall, 64 to 44. The biggest single separator in this matchup is MMLU-Pro, where the scores are 82.6% and 51%.
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 56.1 versus 47.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for reasoning in this comparison, averaging 44.1 versus 43. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for multimodal and grounded tasks in this comparison, averaging 73.8 versus 57.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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