Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
Winner · 3/8 categoriesNemotron Ultra 253B
41
1/8 categoriesGemma 4 E4B· Nemotron Ultra 253B
Pick Gemma 4 E4B if you want the stronger benchmark profile. Nemotron Ultra 253B only becomes the better choice if reasoning is the priority.
Gemma 4 E4B is clearly ahead on the aggregate, 47 to 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 E4B's sharpest advantage is in knowledge, where it averages 65.6 against 42.6. The single biggest benchmark swing on the page is BBH, 33.1% to 77%. Nemotron Ultra 253B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Gemma 4 E4B gives you the larger context window at 128K, compared with 32K for Nemotron Ultra 253B.
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 E4B | Nemotron Ultra 253B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 46% |
| BrowseComp | — | 50% |
| OSWorld-Verified | — | 45% |
| CodingGemma 4 E4B wins | ||
| LiveCodeBench | 52% | 30% |
| HumanEval | — | 41% |
| SWE-bench Verified | — | 31% |
| SWE-bench Pro | — | 38% |
| Multimodal & GroundedGemma 4 E4B wins | ||
| MMMU-Pro | 52.6% | 37% |
| OfficeQA Pro | — | 54% |
| ReasoningNemotron Ultra 253B wins | ||
| BBH | 33.1% | 77% |
| MRCRv2 | 25.4% | 56% |
| MuSR | — | 45% |
| LongBench v2 | — | 55% |
| KnowledgeGemma 4 E4B wins | ||
| GPQA | 58.6% | 48% |
| MMLU-Pro | 69.4% | 63% |
| MMLU | — | 49% |
| SuperGPQA | — | 46% |
| HLE | — | 11% |
| FrontierScience | — | 49% |
| SimpleQA | — | 47% |
| Instruction Following | ||
| IFEval | — | 78% |
| Multilingual | ||
| MGSM | — | 74% |
| MMLU-ProX | — | 68% |
| Mathematics | ||
| AIME 2023 | — | 49% |
| AIME 2024 | — | 51% |
| AIME 2025 | — | 50% |
| HMMT Feb 2023 | — | 45% |
| HMMT Feb 2024 | — | 47% |
| HMMT Feb 2025 | — | 46% |
| BRUMO 2025 | — | 48% |
| MATH-500 | — | 74% |
Gemma 4 E4B is ahead overall, 47 to 41. The biggest single separator in this matchup is BBH, where the scores are 33.1% and 77%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 42.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for coding in this comparison, averaging 52 versus 33.3. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for reasoning in this comparison, averaging 52.7 versus 25.4. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 E4B has the edge for multimodal and grounded tasks in this comparison, averaging 52.6 versus 44.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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