Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6
80
Winner · 0/8 categoriesHolo3-122B-A10B
~79
1/8 categoriesClaude Sonnet 4.6· Holo3-122B-A10B
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Holo3-122B-A10B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Claude Sonnet 4.6 finishes one point ahead overall, 80 to 79. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.40 input / $3.00 output per 1M tokens for Holo3-122B-A10B. That is roughly 5.0x on output cost alone. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 64K for Holo3-122B-A10B.
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 Sonnet 4.6 | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 59.1% | — |
| BrowseComp | 77% | — |
| OSWorld-Verified | 72.5% | 78.8% |
| Coding | ||
| HumanEval | 93% | — |
| SWE-bench Verified | 79.6% | — |
| LiveCodeBench | 54% | — |
| SWE-bench Pro | 64% | — |
| FLTEval | 23.7% | — |
| SWE-Rebench | 60.7% | — |
| React Native Evals | 77.9% | — |
| Multimodal & Grounded | ||
| OfficeQA Pro | 88% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 88% | — |
| LongBench v2 | 83% | — |
| MRCRv2 | 79% | — |
| ARC-AGI-2 | 59% | — |
| Knowledge | ||
| GPQA | 89.9% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 79.2% | — |
| HLE | 49% | — |
| FrontierScience | 85% | — |
| SimpleQA | 48.5% | — |
| Instruction Following | ||
| IFEval | 89.5% | — |
| Multilingual | ||
| MGSM | 91% | — |
| MMLU-ProX | 89% | — |
| Mathematics | ||
| MATH-500 | 97.8% | — |
Claude Sonnet 4.6 is ahead overall, 80 to 79. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 72.5% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 68.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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