Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro
78
Winner · 3/8 categoriesGranite-4.0-1B
~40
0/8 categoriesGemini 3 Pro· Granite-4.0-1B
Pick Gemini 3 Pro if you want the stronger benchmark profile. Granite-4.0-1B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3 Pro is clearly ahead on the aggregate, 78 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multilingual, where it averages 86.4 against 27.5. The single biggest benchmark swing on the page is GPQA, 97% to 29.7%.
Gemini 3 Pro gives you the larger context window at 2M, compared with 128K for Granite-4.0-1B.
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 | Gemini 3 Pro | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 68% | — |
| BrowseComp | 83% | — |
| OSWorld-Verified | 66% | — |
| Coding | ||
| HumanEval | 91% | 73% |
| SWE-bench Verified | 59% | — |
| LiveCodeBench | 49% | — |
| SWE-bench Pro | 58% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 81% | — |
| OfficeQA Pro | 92% | — |
| Reasoning | ||
| MuSR | 93% | — |
| BBH | 90% | 59.7% |
| LongBench v2 | 90% | — |
| MRCRv2 | 87% | — |
| ARC-AGI-2 | 31.1% | — |
| KnowledgeGemini 3 Pro wins | ||
| MMLU | 99% | 59.7% |
| GPQA | 97% | 29.7% |
| SuperGPQA | 95% | — |
| MMLU-Pro | 83% | 32.9% |
| HLE | 20% | — |
| FrontierScience | 86% | — |
| SimpleQA | 95% | — |
| Instruction FollowingGemini 3 Pro wins | ||
| IFEval | 88% | 78.5% |
| MultilingualGemini 3 Pro wins | ||
| MGSM | 89% | 27.5% |
| MMLU-ProX | 85% | — |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 91% | — |
Gemini 3 Pro is ahead overall, 78 to 40. The biggest single separator in this matchup is GPQA, where the scores are 97% and 29.7%.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 73.7 versus 31.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for instruction following in this comparison, averaging 88 versus 78.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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