Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
2/8 categoriesGPT-4 Turbo
43
Winner · 2/8 categoriesGemma 4 E2B· GPT-4 Turbo
Pick GPT-4 Turbo if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
GPT-4 Turbo is clearly ahead on the aggregate, 43 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4 Turbo's sharpest advantage is in reasoning, where it averages 59.6 against 19.1. The single biggest benchmark swing on the page is BBH, 21.9% to 75%. Gemma 4 E2B does hit back in coding, 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 GPT-4 Turbo 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.
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 | GPT-4 Turbo |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 42% |
| BrowseComp | — | 54% |
| OSWorld-Verified | — | 41% |
| CodingGemma 4 E2B wins | ||
| LiveCodeBench | 44% | — |
| HumanEval | — | 52% |
| SWE-bench Verified | — | 5% |
| SWE-bench Pro | — | 14% |
| Multimodal & GroundedGPT-4 Turbo wins | ||
| MMMU-Pro | 44.2% | 53% |
| OfficeQA Pro | — | 58% |
| ReasoningGPT-4 Turbo wins | ||
| BBH | 21.9% | 75% |
| MRCRv2 | 19.1% | — |
| MuSR | — | 56% |
| LongBench v2 | — | 62% |
| KnowledgeGemma 4 E2B wins | ||
| GPQA | 43.4% | 60% |
| MMLU-Pro | 60% | 51% |
| MMLU | — | 60% |
| SuperGPQA | — | 58% |
| HLE | — | 1% |
| FrontierScience | — | 52% |
| SimpleQA | — | 58% |
| Instruction Following | ||
| IFEval | — | 80% |
| Multilingual | ||
| MGSM | — | 75% |
| MMLU-ProX | — | 65% |
| Mathematics | ||
| AIME 2023 | — | 60% |
| AIME 2024 | — | 62% |
| HMMT Feb 2025 | — | 57% |
| BRUMO 2025 | — | 59% |
GPT-4 Turbo is ahead overall, 43 to 39. The biggest single separator in this matchup is BBH, where the scores are 21.9% and 75%.
Gemma 4 E2B has the edge for knowledge tasks in this comparison, averaging 54.1 versus 42.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 E2B has the edge for coding in this comparison, averaging 44 versus 10.6. GPT-4 Turbo stays close enough that the answer can still flip depending on your workload.
GPT-4 Turbo has the edge for reasoning in this comparison, averaging 59.6 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
GPT-4 Turbo has the edge for multimodal and grounded tasks in this comparison, averaging 55.3 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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