Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
1-bit Bonsai 8B
~50
Winner · 0/8 categoriesSarvam 30B
48
2/8 categories1-bit Bonsai 8B· Sarvam 30B
Pick 1-bit Bonsai 8B if you want the stronger benchmark profile. Sarvam 30B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
1-bit Bonsai 8B 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 1-bit Bonsai 8B 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.
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 | 1-bit Bonsai 8B | Sarvam 30B |
|---|---|---|
| Agentic | ||
| BrowseComp | — | 35.5% |
| Coding | ||
| HumanEval | — | 92.1% |
| LiveCodeBench v6 | — | 70.0% |
| SWE-bench Verified | — | 34% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| MuSR | 50% | — |
| gpqaDiamond | — | 66.5% |
| KnowledgeSarvam 30B wins | ||
| GPQA | 30% | — |
| MMLU | — | 85.1% |
| MMLU-Pro | — | 80% |
| Instruction Following | ||
| IFEval | 79.8% | — |
| Multilingual | ||
| Coming soon | ||
| MathematicsSarvam 30B wins | ||
| MATH-500 | 66% | 97% |
| AIME 2025 | — | 80% |
| HMMT Feb 2025 | — | 73.3% |
| HMMT Nov 2025 | — | 74.2% |
1-bit Bonsai 8B is ahead overall, 50 to 48. The biggest single separator in this matchup is MATH-500, where the scores are 66% and 97%.
Sarvam 30B has the edge for knowledge tasks in this comparison, averaging 80 versus 30. 1-bit Bonsai 8B stays close enough that the answer can still flip depending on your workload.
Sarvam 30B has the edge for math in this comparison, averaging 86.5 versus 66. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
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