Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Granite-4.0-1B
~40
0/8 categoriesPhi-4
40
2/8 categoriesGranite-4.0-1B· Phi-4
Treat this as a split decision. Granite-4.0-1B makes more sense if you need the larger 128K context window; Phi-4 is the better fit if multilingual is the priority.
Granite-4.0-1B and Phi-4 finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Granite-4.0-1B gives you the larger context window at 128K, compared with 16K for Phi-4.
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-4.0-1B | Phi-4 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 44% |
| BrowseComp | — | 35% |
| OSWorld-Verified | — | 34% |
| Coding | ||
| HumanEval | 73% | 82.6% |
| SWE-bench Pro | — | 55% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 54% |
| OfficeQA Pro | — | 38% |
| Reasoning | ||
| BBH | 59.7% | — |
| LongBench v2 | — | 30% |
| MRCRv2 | — | 33% |
| KnowledgePhi-4 wins | ||
| MMLU | 59.7% | 84.8% |
| GPQA | 29.7% | 56.1% |
| MMLU-Pro | 32.9% | — |
| FrontierScience | — | 52% |
| Instruction Following | ||
| IFEval | 78.5% | — |
| MultilingualPhi-4 wins | ||
| MGSM | 27.5% | 80.6% |
| MMLU-ProX | — | 60% |
| Mathematics | ||
| MATH-500 | — | 94.6% |
Granite-4.0-1B and Phi-4 are tied on overall score, so the right pick depends on which category matters most for your use case.
Phi-4 has the edge for knowledge tasks in this comparison, averaging 53.6 versus 31.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Phi-4 has the edge for multilingual tasks in this comparison, averaging 67.2 versus 27.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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