Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
1/8 categoriesSarvam 105B
60
Winner · 1/8 categoriesGemma 4 E4B· Sarvam 105B
Pick Sarvam 105B if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if coding is the priority.
Sarvam 105B is clearly ahead on the aggregate, 60 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sarvam 105B's sharpest advantage is in knowledge, where it averages 81.7 against 65.6. The single biggest benchmark swing on the page is MMLU-Pro, 69.4% to 81.7%. Gemma 4 E4B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
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 E4B | Sarvam 105B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 49.5% |
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 52% | — |
| LiveCodeBench v6 | — | 71.7% |
| SWE-bench Verified | — | 45% |
| Multimodal & Grounded | ||
| MMMU-Pro | 52.6% | — |
| Reasoning | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | — |
| gpqaDiamond | — | 78.7% |
| hle | — | 11.2% |
| KnowledgeSarvam 105B wins | ||
| GPQA | 58.6% | — |
| MMLU-Pro | 69.4% | 81.7% |
| 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% |
Sarvam 105B is ahead overall, 60 to 47. The biggest single separator in this matchup is MMLU-Pro, where the scores are 69.4% and 81.7%.
Sarvam 105B has the edge for knowledge tasks in this comparison, averaging 81.7 versus 65.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for coding in this comparison, averaging 52 versus 45. Sarvam 105B stays close enough that the answer can still flip depending on your workload.
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