Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Grok 3 Mini
~49
Winner · 1/8 categoriesSarvam 30B
48
1/8 categoriesGrok 3 Mini· Sarvam 30B
Pick Grok 3 Mini if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Grok 3 Mini finishes one point ahead overall, 49 to 48. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Grok 3 Mini's sharpest advantage is in coding, where it averages 41.5 against 34. The single biggest benchmark swing on the page is MMLU-Pro, 78.9% to 80%. Sarvam 30B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Grok 3 Mini is also the more expensive model on tokens at $0.30 input / $0.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 30B. That is roughly Infinityx on output cost alone. Grok 3 Mini gives you the larger context window at 128K, 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 | Grok 3 Mini | Sarvam 30B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 35.5% |
| CodingGrok 3 Mini wins | ||
| LiveCodeBench | 41.5% | — |
| HumanEval | — | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| SWE-bench Verified | — | 34% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| GPQA | 66.2% | — |
| MMLU-Pro | 78.9% | 80% |
| SimpleQA | 21.7% | — |
| MMLU | — | 85.1% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| AIME 2024 | 95.8% | — |
| MATH-500 | — | 97% |
| AIME 2025 | — | 80% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Grok 3 Mini is ahead overall, 49 to 48. The biggest single separator in this matchup is MMLU-Pro, where the scores are 78.9% and 80%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 59.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Grok 3 Mini has the edge for coding in this comparison, averaging 41.5 versus 34. Sarvam 30B stays close enough that the answer can still flip depending on your workload.
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