Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
1/8 categoriesNemotron 3 Ultra 500B
60
Winner · 3/8 categoriesGemma 4 E2B· Nemotron 3 Ultra 500B
Pick Nemotron 3 Ultra 500B if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if coding is the priority.
Nemotron 3 Ultra 500B is clearly ahead on the aggregate, 60 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Ultra 500B's sharpest advantage is in reasoning, where it averages 79.1 against 19.1. The single biggest benchmark swing on the page is MRCRv2, 19.1% to 85%. Gemma 4 E2B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra 500B gives you the larger context window at 10M, compared with 128K for Gemma 4 E2B.
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 | Nemotron 3 Ultra 500B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 63% |
| BrowseComp | — | 69% |
| OSWorld-Verified | — | 58% |
| CodingGemma 4 E2B wins | ||
| LiveCodeBench | 44% | 41% |
| HumanEval | — | 66% |
| SWE-bench Verified | — | 42% |
| SWE-bench Pro | — | 47% |
| Multimodal & GroundedNemotron 3 Ultra 500B wins | ||
| MMMU-Pro | 44.2% | 61% |
| OfficeQA Pro | — | 74% |
| ReasoningNemotron 3 Ultra 500B wins | ||
| BBH | 21.9% | 85% |
| MRCRv2 | 19.1% | 85% |
| MuSR | — | 69% |
| LongBench v2 | — | 81% |
| KnowledgeNemotron 3 Ultra 500B wins | ||
| GPQA | 43.4% | 73% |
| MMLU-Pro | 60% | 73% |
| SuperGPQA | — | 71% |
| HLE | — | 15% |
| FrontierScience | — | 67% |
| Instruction Following | ||
| IFEval | — | 84% |
| Multilingual | ||
| MGSM | — | 81% |
| MMLU-ProX | — | 79% |
| Mathematics | ||
| AIME 2023 | — | 74% |
| HMMT Feb 2023 | — | 70% |
| HMMT Feb 2024 | — | 72% |
| MATH-500 | — | 84% |
Nemotron 3 Ultra 500B is ahead overall, 60 to 39. The biggest single separator in this matchup is MRCRv2, where the scores are 19.1% and 85%.
Nemotron 3 Ultra 500B has the edge for knowledge tasks in this comparison, averaging 56.1 versus 54.1. 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 43.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for reasoning in this comparison, averaging 79.1 versus 19.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for multimodal and grounded tasks in this comparison, averaging 66.9 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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