Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
1/8 categoriesGrok 4
68
Winner · 3/8 categoriesGemma 4 26B A4B· Grok 4
Pick Grok 4 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if coding is the priority or you need the larger 256K context window.
Grok 4 is clearly ahead on the aggregate, 68 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4's sharpest advantage is in reasoning, where it averages 59.6 against 44.1. The single biggest benchmark swing on the page is MRCRv2, 44.1% to 71%. Gemma 4 26B A4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemma 4 26B A4B is the reasoning model in the pair, while Grok 4 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. Gemma 4 26B A4B gives you the larger context window at 256K, compared with 128K for Grok 4.
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 | Grok 4 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 57% |
| BrowseComp | — | 63% |
| OSWorld-Verified | — | 56% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | 79.4% |
| HumanEval | — | 79% |
| SWE-bench Verified | — | 73% |
| SWE-bench Pro | — | 48% |
| React Native Evals | — | 70.1% |
| Multimodal & GroundedGrok 4 wins | ||
| MMMU-Pro | 73.8% | 80% |
| OfficeQA Pro | — | 76% |
| ReasoningGrok 4 wins | ||
| BBH | 64.8% | 83% |
| MRCRv2 | 44.1% | 71% |
| MuSR | — | 81% |
| LongBench v2 | — | 72% |
| ARC-AGI-2 | — | 16% |
| KnowledgeGrok 4 wins | ||
| GPQA | 82.3% | 86% |
| MMLU-Pro | 82.6% | 77% |
| HLE | 17.2% | 16% |
| HLE w/o tools | 8.7% | — |
| MMLU | — | 87% |
| SuperGPQA | — | 84% |
| FrontierScience | — | 75% |
| SimpleQA | — | 83% |
| Instruction Following | ||
| IFEval | — | 82% |
| Multilingual | ||
| MGSM | — | 84% |
| MMLU-ProX | — | 79% |
| Mathematics | ||
| AIME 2023 | — | 87% |
| AIME 2024 | — | 89% |
| AIME 2025 | — | 88% |
| HMMT Feb 2023 | — | 84% |
| HMMT Feb 2024 | — | 86% |
| HMMT Feb 2025 | — | 85% |
| BRUMO 2025 | — | 87% |
| MATH-500 | — | 83% |
Grok 4 is ahead overall, 68 to 64. The biggest single separator in this matchup is MRCRv2, where the scores are 44.1% and 71%.
Grok 4 has the edge for knowledge tasks in this comparison, averaging 65.3 versus 56.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for coding in this comparison, averaging 77.1 versus 65.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Grok 4 has the edge for reasoning in this comparison, averaging 59.6 versus 44.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Grok 4 has the edge for multimodal and grounded tasks in this comparison, averaging 78.2 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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