Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
1/8 categoriesPhi-4
40
Winner · 3/8 categoriesGemma 4 E2B· Phi-4
Pick Phi-4 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if knowledge is the priority or you need the larger 128K context window.
Phi-4 finishes one point ahead overall, 40 to 39. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Phi-4's sharpest advantage is in reasoning, where it averages 31.4 against 19.1. The single biggest benchmark swing on the page is MRCRv2, 19.1% to 33%. Gemma 4 E2B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemma 4 E2B is the reasoning model in the pair, while Phi-4 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemma 4 E2B 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 | Gemma 4 E2B | Phi-4 |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 44% |
| BrowseComp | — | 35% |
| OSWorld-Verified | — | 34% |
| CodingPhi-4 wins | ||
| LiveCodeBench | 44% | — |
| HumanEval | — | 82.6% |
| SWE-bench Pro | — | 55% |
| Multimodal & GroundedPhi-4 wins | ||
| MMMU-Pro | 44.2% | 54% |
| OfficeQA Pro | — | 38% |
| ReasoningPhi-4 wins | ||
| BBH | 21.9% | — |
| MRCRv2 | 19.1% | 33% |
| LongBench v2 | — | 30% |
| KnowledgeGemma 4 E2B wins | ||
| GPQA | 43.4% | 56.1% |
| MMLU-Pro | 60% | — |
| MMLU | — | 84.8% |
| FrontierScience | — | 52% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | — | 80.6% |
| MMLU-ProX | — | 60% |
| Mathematics | ||
| MATH-500 | — | 94.6% |
Phi-4 is ahead overall, 40 to 39. The biggest single separator in this matchup is MRCRv2, where the scores are 19.1% and 33%.
Gemma 4 E2B has the edge for knowledge tasks in this comparison, averaging 54.1 versus 53.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Phi-4 has the edge for coding in this comparison, averaging 55 versus 44. Gemma 4 E2B stays close enough that the answer can still flip depending on your workload.
Phi-4 has the edge for reasoning in this comparison, averaging 31.4 versus 19.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Phi-4 has the edge for multimodal and grounded tasks in this comparison, averaging 46.8 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.