Gemma 3n E4B IT vs Gemma 3n E2B IT
Too close to call on our weighted score (Gemma 3n E4B IT 21, Gemma 3n E2B IT 21). The right pick depends on what you value most.
GoogleGemma 3n E4B IT
21/100- ECI—
- Price—
- Context33K
- Google
Gemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Gemma 3n E4B IT 21/100, Gemma 3n E2B IT 21/100), so choose by what matters most for your work: . The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Longest contextAbout the sameGemma 3n E4B IT 32,768 · Gemma 3n E2B IT 32,768 tokens
- Widest inputsSame inputsGemma 3n E4B IT: Text, Images, Audio · Gemma 3n E2B IT: Text, Images, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3n E4B IT | Gemma 3n E2B IT |
|---|---|---|---|
| Inputs & features | 60% | 35 | 35 |
| Context window | 40% | 0 | 0 |
| Overall | 100% | 21/100 | 21/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 3n E4B ITGoogle | Gemma 3n E2B ITGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | — |
| Output | — | — |
| Cached input | — | — |
| Blended (3:1) | — | — |
| Long-context rate | — | — |
| Price source | — | — |
| Limits | ||
| Context window | 32,768 tokens | 32,768 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | Yes | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | No |
| Structured output | No | No |
| Availability | ||
| Weights | OpenGemma Terms of Use | OpenGemma Terms of Use |
| API model ID | — | — |
| API providers | — | — |
| Released | Jun 26, 2025 | Jun 26, 2025 |
| Knowledge cutoff | Jun 2024 | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemma 3n E4B IT—
- Gemma 3n E2B IT—
Which should you choose?
Which is better: Gemma 3n E4B IT or Gemma 3n E2B IT?
It is close. Our weighted score puts them within a point (Gemma 3n E4B IT 21/100, Gemma 3n E2B IT 21/100), so choose by what matters most for your work: . The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemma 3n E4B IT or Gemma 3n E2B IT?
None of these models has a published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemma 3n E4B IT has not been scored yet and Gemma 3n E2B IT has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E4B IT and Gemma 3n E2B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E4B IT and Gemma 3n E2B IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
Gemma 3n E4B IT and Gemma 3n E2B IT share the same 32,768-token context window. Maximum output per response: Gemma 3n E4B IT up to 32,768, Gemma 3n E2B IT up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E4B IT accepts text, images and audio; Gemma 3n E2B IT accepts text, images and audio. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Gemma Terms of Use), so you can self-host them.
Which is newer?
Gemma 3n E4B IT is the newest, released Jun 26, 2025. Gemma 3n E2B IT came out Jun 26, 2025. Knowledge cutoff: Gemma 3n E4B IT Jun 2024, Gemma 3n E2B IT Jun 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
