Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.6
85
Winner · 4/8 categoriesSarvam 105B
60
1/8 categoriesClaude Opus 4.6· Sarvam 105B
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Sarvam 105B 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 60. 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 45. The single biggest benchmark swing on the page is SWE-bench Verified, 80.8% to 45%. Sarvam 105B 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 105B. That is roughly Infinityx on output cost alone. Sarvam 105B 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 128K for Sarvam 105B.
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 105B |
|---|---|---|
| AgenticClaude Opus 4.6 wins | ||
| Terminal-Bench 2.0 | 65.4% | — |
| BrowseComp | 84% | 49.5% |
| 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% | — |
| SWE-bench Verified | 80.8% | 45% |
| SWE-bench Verified* | 75.6% | — |
| LiveCodeBench | 76% | — |
| FLTEval | 39.6% | — |
| SWE-Rebench | 65.3% | — |
| React Native Evals | 84.4% | — |
| LiveCodeBench v6 | — | 71.7% |
| 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 | — | 78.7% |
| hle | — | 11.2% |
| KnowledgeSarvam 105B wins | ||
| MMLU | 99% | 90.6% |
| GPQA | 91.3% | — |
| GPQA-D | 89.2% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 82% | 81.7% |
| MMLU-Pro (Arcee) | 89.1% | — |
| HLE | 53% | — |
| FrontierScience | 88% | — |
| SimpleQA | 72% | — |
| Instruction FollowingClaude Opus 4.6 wins | ||
| IFEval | 95% | 84.8% |
| IFBench | 53.1% | — |
| Multilingual | ||
| MGSM | 96% | — |
| MMLU-ProX | 94% | — |
| MathematicsClaude Opus 4.6 wins | ||
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | 88.3% |
| AIME25 (Arcee) | 99.8% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 98% | 98.6% |
| HMMT Feb 2025 | — | 85.8% |
| HMMT Nov 2025 | — | 85.8% |
Claude Opus 4.6 is ahead overall, 85 to 60. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.8% and 45%.
Sarvam 105B has the edge for knowledge tasks in this comparison, averaging 81.7 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 45. 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 92.3. 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 49.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for instruction following in this comparison, averaging 95 versus 84.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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