Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-H-1B
~43
0/8 categoriesMistral Medium 3
~52
Winner · 2/8 categoriesGranite-4.0-H-1B· Mistral Medium 3
Pick Mistral Medium 3 if you want the stronger benchmark profile. Granite-4.0-H-1B only becomes the better choice if you want the cheaper token bill.
Mistral Medium 3 is clearly ahead on the aggregate, 52 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Medium 3's sharpest advantage is in knowledge, where it averages 70.1 against 32.6. The single biggest benchmark swing on the page is MMLU-Pro, 34.0% to 77.2%.
Mistral Medium 3 is also the more expensive model on tokens at $0.40 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Granite-4.0-H-1B. That is roughly Infinityx on output cost alone.
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 | Mistral Medium 3 |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| Coding | ||
| HumanEval | 74% | 92.1% |
| LiveCodeBench | — | 30.3% |
| Multimodal & Grounded | ||
| Coming soon | ||
| Reasoning | ||
| BBH | 60.4% | — |
| KnowledgeMistral Medium 3 wins | ||
| MMLU | 59.4% | — |
| GPQA | 29.9% | 57.1% |
| MMLU-Pro | 34.0% | 77.2% |
| Instruction FollowingMistral Medium 3 wins | ||
| IFEval | 77.4% | 89.4% |
| Multilingual | ||
| MGSM | 37.8% | — |
| Mathematics | ||
| MATH-500 | — | 91% |
Mistral Medium 3 is ahead overall, 52 to 43. The biggest single separator in this matchup is MMLU-Pro, where the scores are 34.0% and 77.2%.
Mistral Medium 3 has the edge for knowledge tasks in this comparison, averaging 70.1 versus 32.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Mistral Medium 3 has the edge for instruction following in this comparison, averaging 89.4 versus 77.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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