Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Small 4
~62
Winner · 0/8 categoriesSarvam 30B
48
1/8 categoriesMistral Small 4· Sarvam 30B
Pick Mistral Small 4 if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Mistral Small 4 is clearly ahead on the aggregate, 62 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sarvam 30B is the reasoning model in the pair, while Mistral Small 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. Mistral Small 4 gives you the larger context window at 256K, compared with 64K for Sarvam 30B.
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 | Mistral Small 4 | Sarvam 30B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 35.5% |
| Coding | ||
| HumanEval | 84.8% | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| SWE-bench Verified | — | 34% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| GPQA | 45.3% | — |
| MMLU-Pro | 66.3% | 80% |
| MMLU | — | 85.1% |
| Instruction Following | ||
| IFEval | 82.9% | — |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | — | 97% |
| AIME 2025 | — | 80% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Mistral Small 4 is ahead overall, 62 to 48. The biggest single separator in this matchup is MMLU-Pro, where the scores are 66.3% and 80%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 58.9. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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