Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 26B A4B
64
Winner · 1/8 categoriesSarvam 105B
60
1/8 categoriesGemma 4 26B A4B· Sarvam 105B
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Sarvam 105B only becomes the better choice if knowledge is the priority.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 60. 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 coding, where it averages 77.1 against 45. The single biggest benchmark swing on the page is MMLU-Pro, 82.6% to 81.7%. Sarvam 105B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemma 4 26B A4B gives you the larger context window at 256K, compared with 128K for Sarvam 105B.
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 | Sarvam 105B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 49.5% |
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | — |
| LiveCodeBench v6 | — | 71.7% |
| SWE-bench Verified | — | 45% |
| Multimodal & Grounded | ||
| MMMU-Pro | 73.8% | — |
| Reasoning | ||
| BBH | 64.8% | — |
| MRCRv2 | 44.1% | — |
| gpqaDiamond | — | 78.7% |
| hle | — | 11.2% |
| KnowledgeSarvam 105B wins | ||
| GPQA | 82.3% | — |
| MMLU-Pro | 82.6% | 81.7% |
| HLE | 17.2% | — |
| HLE w/o tools | 8.7% | — |
| MMLU | — | 90.6% |
| Instruction Following | ||
| IFEval | — | 84.8% |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | — | 98.6% |
| AIME 2025 | — | 88.3% |
| HMMT Feb 2025 | — | 85.8% |
| HMMT Nov 2025 | — | 85.8% |
Gemma 4 26B A4B is ahead overall, 64 to 60. The biggest single separator in this matchup is MMLU-Pro, where the scores are 82.6% and 81.7%.
Sarvam 105B has the edge for knowledge tasks in this comparison, averaging 81.7 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 45. Sarvam 105B stays close enough that the answer can still flip depending on your workload.
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