Compare / Gemma 4 E2B vs Gemma 3n E2B
Gemma 4 E2B vs Gemma 3n E2B
Updated November 2026
Verdict
Gemma 4 E2B scores higher on the Small LM Index: 31.9 vs 14.3. On the 4 benchmarks both labs report, Gemma 4 E2B wins 4 and Gemma 3n E2B wins 0. Both need about 4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Gemma 4 E2B if…
- you want the strongest model overall
- you mostly write code
- you need math and reasoning
- you work with long documents
- you need a permissive license (Apache-2.0)
- you want the more widely used model (more quantized builds and community support)
Pick Gemma 3n E2B if…
No clear advantage in the data we have.
Specifications
| Gemma 4 E2B | Gemma 3n E2B | |
|---|---|---|
| Small LM Index | 31.9 (likely 28–36) | 14.3 (likely 12–17) |
| Lab | Google · United States | Google · United States |
| Released | 2026-04-02 | 2025-06-26 |
| Parameters | 5.1B (dense) | 5.4B (dense) |
| Memory at 4-bit | ~3.7 GB | ~4 GB |
| Context window | 128K tokens | 32K tokens |
| Input | text, image, audio | text, image, audio, video |
| Reasoning | Hybrid (thinking on/off) | No thinking |
| License | Apache-2.0 | Gemma |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 3.3M | 38.3K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Gemma 4 E2B | Gemma 3n E2B |
|---|---|---|
| MMLU-Pro Knowledge | 60.0 | 40.5 |
| GPQA Diamond Knowledge | 43.4 | 24.8 |
| AIME Math | 37.5 | 6.7 |
| LiveCodeBench Coding | 44.0 | 18.6 |
| τ²-Bench Agentic | 24.5 | — |
| MMMU-Pro Vision | 44.2 | — |
| MMLU Knowledge | — | 60.1 |
| Multilingual MMLU Multilingual | — | 55.1 |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Gemma 4 E2B or Gemma 3n E2B?
Gemma 4 E2B scores higher on the Small LM Index: 31.9 vs 14.3. On the 4 benchmarks both labs report, Gemma 4 E2B wins 4 and Gemma 3n E2B wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 4 GB of memory at 4-bit quantization.
Which has the longer context window?
Gemma 4 E2B has the longer context window: 128K tokens against 32K.
Can I use Gemma 4 E2B and Gemma 3n E2B commercially?
Gemma 4 E2B is released under Apache-2.0 and Gemma 3n E2B under Gemma. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.