Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DBRX Instruct
41
2/8 categoriesGranite-4.0-H-1B
~43
Winner · 0/8 categoriesDBRX Instruct· Granite-4.0-H-1B
Pick Granite-4.0-H-1B if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if knowledge is the priority.
Granite-4.0-H-1B has the cleaner overall profile here, landing at 43 versus 41. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Granite-4.0-H-1B gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
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 | DBRX Instruct | Granite-4.0-H-1B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 41% | — |
| BrowseComp | 31% | — |
| OSWorld-Verified | 29% | — |
| Coding | ||
| HumanEval | 70.1% | 74% |
| SWE-bench Pro | 48% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 36% | — |
| OfficeQA Pro | 35% | — |
| Reasoning | ||
| LongBench v2 | 36% | — |
| MRCRv2 | 37% | — |
| BBH | — | 60.4% |
| KnowledgeDBRX Instruct wins | ||
| MMLU | 73.7% | 59.4% |
| FrontierScience | 52% | — |
| GPQA | — | 29.9% |
| MMLU-Pro | — | 34.0% |
| Instruction Following | ||
| IFEval | — | 77.4% |
| MultilingualDBRX Instruct wins | ||
| MMLU-ProX | 46% | — |
| MGSM | — | 37.8% |
| Mathematics | ||
| Coming soon | ||
Granite-4.0-H-1B is ahead overall, 43 to 41. The biggest single separator in this matchup is MMLU, where the scores are 73.7% and 59.4%.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 52 versus 32.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DBRX Instruct has the edge for multilingual tasks in this comparison, averaging 46 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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