Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4.1 Opus Thinking
57
Winner · 2/8 categoriesSarvam 30B
48
1/8 categoriesClaude 4.1 Opus Thinking· Sarvam 30B
Pick Claude 4.1 Opus Thinking if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if knowledge is the priority.
Claude 4.1 Opus Thinking is clearly ahead on the aggregate, 57 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4.1 Opus Thinking's sharpest advantage is in agentic, where it averages 54 against 35.5. The single biggest benchmark swing on the page is SWE-bench Verified, 74.5% to 34%. Sarvam 30B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude 4.1 Opus Thinking gives you the larger context window at 200K, 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 | Claude 4.1 Opus Thinking | Sarvam 30B |
|---|---|---|
| AgenticClaude 4.1 Opus Thinking wins | ||
| BrowseComp | 54% | 35.5% |
| CodingClaude 4.1 Opus Thinking wins | ||
| SWE-bench Verified | 74.5% | 34% |
| LiveCodeBench | 45% | — |
| SWE-bench Pro | 29% | — |
| HumanEval | — | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| Multimodal & Grounded | ||
| OfficeQA Pro | 69% | — |
| Reasoning | ||
| MuSR | 72% | — |
| MRCRv2 | 74% | — |
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| MMLU | 76% | 85.1% |
| GPQA | 80.9% | — |
| SuperGPQA | 72% | — |
| MMLU-Pro | 76% | 80% |
| HLE | 8% | — |
| FrontierScience | 41% | — |
| SimpleQA | 36% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | 82% | — |
| MMLU-ProX | 73% | — |
| Mathematics | ||
| AIME 2024 | 40% | — |
| HMMT Feb 2024 | 36% | — |
| HMMT Feb 2025 | 35% | — |
| MATH-500 | — | 97% |
| AIME 2025 | — | 80% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Claude 4.1 Opus Thinking is ahead overall, 57 to 48. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.5% and 34%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 49. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for coding in this comparison, averaging 45.7 versus 34. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for agentic tasks in this comparison, averaging 54 versus 35.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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