Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Exaone 4.0 32B
~76
Winner · 1/8 categoriesSarvam 30B
48
1/8 categoriesExaone 4.0 32B· Sarvam 30B
Pick Exaone 4.0 32B if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if mathematics is the priority.
Exaone 4.0 32B is clearly ahead on the aggregate, 76 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B's sharpest advantage is in knowledge, where it averages 81.8 against 80. The single biggest benchmark swing on the page is AIME 2025, 85.3% to 80%. Sarvam 30B does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Exaone 4.0 32B gives you the larger context window at 128K, 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 | Exaone 4.0 32B | Sarvam 30B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 35.5% |
| Coding | ||
| HumanEval | — | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| SWE-bench Verified | — | 34% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| gpqaDiamond | — | 66.5% |
| KnowledgeExaone 4.0 32B wins | ||
| MMLU-Pro | 81.8% | 80% |
| MMLU | — | 85.1% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| MathematicsSarvam 30B wins | ||
| AIME 2025 | 85.3% | 80% |
| MATH-500 | — | 97% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
Exaone 4.0 32B is ahead overall, 76 to 48. The biggest single separator in this matchup is AIME 2025, where the scores are 85.3% and 80%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 80. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Sarvam 30B has the edge for math in this comparison, averaging 86.5 versus 85.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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