Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-H-1B
~43
Winner · 0/8 categoriesMixtral 8x22B Instruct v0.1
36
2/8 categoriesGranite-4.0-H-1B· Mixtral 8x22B Instruct v0.1
Pick Granite-4.0-H-1B if you want the stronger benchmark profile. Mixtral 8x22B Instruct v0.1 only becomes the better choice if knowledge is the priority.
Granite-4.0-H-1B is clearly ahead on the aggregate, 43 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Granite-4.0-H-1B gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
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 | Granite-4.0-H-1B | Mixtral 8x22B Instruct v0.1 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 35% |
| BrowseComp | — | 32% |
| OSWorld-Verified | — | 28% |
| Coding | ||
| HumanEval | 74% | 54.8% |
| SWE-bench Pro | — | 40% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 35% |
| OfficeQA Pro | — | 36% |
| Reasoning | ||
| BBH | 60.4% | — |
| LongBench v2 | — | 39% |
| MRCRv2 | — | 38% |
| KnowledgeMixtral 8x22B Instruct v0.1 wins | ||
| MMLU | 59.4% | 77.8% |
| GPQA | 29.9% | — |
| MMLU-Pro | 34.0% | — |
| FrontierScience | — | 53% |
| Instruction Following | ||
| IFEval | 77.4% | — |
| MultilingualMixtral 8x22B Instruct v0.1 wins | ||
| MGSM | 37.8% | — |
| MMLU-ProX | — | 42% |
| Mathematics | ||
| Coming soon | ||
Granite-4.0-H-1B is ahead overall, 43 to 36. The biggest single separator in this matchup is HumanEval, where the scores are 74% and 54.8%.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 32.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for multilingual tasks in this comparison, averaging 42 versus 37.8. Granite-4.0-H-1B stays close enough that the answer can still flip depending on your workload.
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