Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-VL-32B
~50
Winner · 0/8 categoriesSarvam 30B
48
1/8 categoriesQwen2.5-VL-32B· Sarvam 30B
Pick Qwen2.5-VL-32B if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if knowledge is the priority or you need the larger 64K context window.
Qwen2.5-VL-32B has the cleaner overall profile here, landing at 50 versus 48. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Sarvam 30B is the reasoning model in the pair, while Qwen2.5-VL-32B 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. Sarvam 30B gives you the larger context window at 64K, compared with 32K for Qwen2.5-VL-32B.
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 | Qwen2.5-VL-32B | Sarvam 30B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 35.5% |
| Coding | ||
| HumanEval | 91.5% | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| SWE-bench Verified | — | 34% |
| Multimodal & Grounded | ||
| MMMU-Pro | 49.5% | — |
| Reasoning | ||
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| GPQA | 46% | — |
| MMLU-Pro | 68.8% | 80% |
| MMLU | — | 85.1% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | — | 97% |
| AIME 2025 | — | 80% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Qwen2.5-VL-32B is ahead overall, 50 to 48. The biggest single separator in this matchup is MMLU-Pro, where the scores are 68.8% and 80%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 60.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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