Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the Gemma 4 family.
Gemma 4 26B A4B
64
Winner · 4/8 categoriesGemma 4 E2B
~39
0/8 categoriesGemma 4 26B A4B· Gemma 4 E2B
Gemma 4 26B A4B makes more sense if coding is the priority or you need the larger 256K context window, while Gemma 4 E2B is the cleaner fit if its score, price, or context tradeoffs line up better with your workload.
Gemma 4 26B A4B and Gemma 4 E2B sit in the same Gemma 4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Gemma 4 26B A4B is clearly ahead on the aggregate, 64 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 26B A4B's sharpest advantage is in coding, where it averages 77.1 against 44. The single biggest benchmark swing on the page is BBH, 64.8% to 21.9%.
Gemma 4 26B A4B gives you the larger context window at 256K, 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 26B A4B | Gemma 4 E2B |
|---|---|---|
| Agentic | ||
| Coming soon | ||
| CodingGemma 4 26B A4B wins | ||
| LiveCodeBench | 77.1% | 44% |
| Multimodal & GroundedGemma 4 26B A4B wins | ||
| MMMU-Pro | 73.8% | 44.2% |
| ReasoningGemma 4 26B A4B wins | ||
| BBH | 64.8% | 21.9% |
| MRCRv2 | 44.1% | 19.1% |
| KnowledgeGemma 4 26B A4B wins | ||
| GPQA | 82.3% | 43.4% |
| MMLU-Pro | 82.6% | 60% |
| HLE | 17.2% | — |
| HLE w/o tools | 8.7% | — |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| Coming soon | ||
Gemma 4 26B A4B and Gemma 4 E2B are sibling variants in the Gemma 4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Gemma 4 26B A4B is ahead overall 64 to 39.
Gemma 4 26B A4B 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 26B A4B has the edge for coding in this comparison, averaging 77.1 versus 44. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for reasoning in this comparison, averaging 44.1 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for multimodal and grounded tasks in this comparison, averaging 73.8 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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