Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.6
85
Winner · 3/8 categoriesSarvam 30B
48
1/8 categoriesClaude Opus 4.6· Sarvam 30B
Pick Claude Opus 4.6 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.
Claude Opus 4.6 is clearly ahead on the aggregate, 85 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 72 against 34. The single biggest benchmark swing on the page is BrowseComp, 84% to 35.5%. Sarvam 30B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.6 is also the more expensive model on tokens at $15.00 input / $75.00 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. Sarvam 30B is the reasoning model in the pair, while Claude Opus 4.6 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. Claude Opus 4.6 gives you the larger context window at 1M, 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 Opus 4.6 | Sarvam 30B |
|---|---|---|
| AgenticClaude Opus 4.6 wins | ||
| Terminal-Bench 2.0 | 65.4% | — |
| BrowseComp | 84% | 35.5% |
| OSWorld-Verified | 72.7% | — |
| BrowseComp-VL | 35.9% | — |
| OSWorld | 72.2% | — |
| Tau2-Airline | 82.0% | — |
| Tau2-Telecom | 92.1% | — |
| BFCL v4 | 77.0% | — |
| AndroidWorld | 62.0% | — |
| WebVoyager | 88.0% | — |
| Claw-Eval | 66.3% | — |
| CodingClaude Opus 4.6 wins | ||
| HumanEval | 91% | 92.1% |
| SWE-bench Verified | 80.8% | 34% |
| SWE-bench Verified* | 75.6% | — |
| LiveCodeBench | 76% | — |
| FLTEval | 39.6% | — |
| SWE-Rebench | 65.3% | — |
| React Native Evals | 84.4% | — |
| LiveCodeBench v6 | — | 70.0% |
| Multimodal & Grounded | ||
| MMMU-Pro | 77.3% | — |
| OfficeQA Pro | 94% | — |
| Design2Code | 77.3% | — |
| Flame-VLM-Code | 98.8% | — |
| Vision2Web | 43.5% | — |
| MMSearch | 63.8% | — |
| MMSearch-Plus | 25.6% | — |
| SimpleVQA | 63.2% | — |
| V* | 66.5% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 94% | — |
| LongBench v2 | 92% | — |
| MRCRv2 | 76% | — |
| ARC-AGI-2 | 68.8% | — |
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| MMLU | 99% | 85.1% |
| GPQA | 91.3% | — |
| GPQA-D | 89.2% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 82% | 80% |
| MMLU-Pro (Arcee) | 89.1% | — |
| HLE | 53% | — |
| FrontierScience | 88% | — |
| SimpleQA | 72% | — |
| Instruction Following | ||
| IFEval | 95% | — |
| IFBench | 53.1% | — |
| Multilingual | ||
| MGSM | 96% | — |
| MMLU-ProX | 94% | — |
| MathematicsClaude Opus 4.6 wins | ||
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | 80% |
| AIME25 (Arcee) | 99.8% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 98% | 97% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Claude Opus 4.6 is ahead overall, 85 to 48. The biggest single separator in this matchup is BrowseComp, where the scores are 84% and 35.5%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 77.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 72 versus 34. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for math in this comparison, averaging 97.3 versus 86.5. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 72.6 versus 35.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.