Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Grok 4.1
85
Winner · 4/8 categoriesSarvam 30B
48
0/8 categoriesGrok 4.1· Sarvam 30B
Pick Grok 4.1 if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Grok 4.1 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.
Grok 4.1's sharpest advantage is in agentic, where it averages 78.2 against 35.5. The single biggest benchmark swing on the page is BrowseComp, 84% to 35.5%.
Grok 4.1 is also the more expensive model on tokens at $3.00 input / $15.00 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 Grok 4.1 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. Grok 4.1 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 | Grok 4.1 | Sarvam 30B |
|---|---|---|
| AgenticGrok 4.1 wins | ||
| Terminal-Bench 2.0 | 79% | — |
| BrowseComp | 84% | 35.5% |
| OSWorld-Verified | 73% | — |
| CodingGrok 4.1 wins | ||
| HumanEval | 91% | 92.1% |
| SWE-bench Verified | 77% | 34% |
| LiveCodeBench | 73% | — |
| LiveCodeBench v6 | — | 70.0% |
| Multimodal & Grounded | ||
| MMMU-Pro | 95% | — |
| OfficeQA Pro | 91% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 93% | — |
| LongBench v2 | 90% | — |
| MRCRv2 | 89% | — |
| gpqaDiamond | — | 66.5% |
| KnowledgeGrok 4.1 wins | ||
| MMLU | 99% | 85.1% |
| GPQA | 97% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 90% | 80% |
| HLE | 40% | — |
| FrontierScience | 91% | — |
| SimpleQA | 95% | — |
| Instruction Following | ||
| IFEval | 93% | — |
| Multilingual | ||
| MGSM | 96% | — |
| MMLU-ProX | 91% | — |
| MathematicsGrok 4.1 wins | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | 80% |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 97% | 97% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Grok 4.1 is ahead overall, 85 to 48. The biggest single separator in this matchup is BrowseComp, where the scores are 84% and 35.5%.
Grok 4.1 has the edge for knowledge tasks in this comparison, averaging 80.8 versus 80. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Grok 4.1 has the edge for coding in this comparison, averaging 74.5 versus 34. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Grok 4.1 has the edge for math in this comparison, averaging 97.1 versus 86.5. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Grok 4.1 has the edge for agentic tasks in this comparison, averaging 78.2 versus 35.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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