# Gemini 3.1 Pro vs Gemma 3n E4B Instruct

Gemma 3n E4B Instruct is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

## Specifications

| | Gemini 3.1 Pro | Gemma 3n E4B Instruct |
| --- | --- | --- |
| Lab | Google | Google |
| Access | API only | Not served on Allocate |
| Context window | 1M tokens | n/a |
| List price, input | $2 / M tokens | Not served |
| List price, output | $12 / M tokens | Not served |
| Cached input | n/a | n/a |
| License | Proprietary API | Not listed |
| Fine-tunable | No | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

## Choose Gemini 3.1 Pro for

- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash

## Choose Gemma 3n E4B Instruct for

- Cheap classification
- On-device and edge deployments
- High-volume short prompts

## Common questions

### Which has the bigger context window?

Gemini 3.1 Pro: 1,000,000 tokens (1M) against an unlisted window for Gemma 3n E4B Instruct.

### Can I fine-tune Gemini 3.1 Pro or Gemma 3n E4B Instruct?

Gemma 3n E4B Instruct publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.

---

[HTML page](https://allocate.network/compare/google-gemini-3-1-pro-vs-google-gemma-3n-e4b-it) · [Gemini 3.1 Pro](https://allocate.network/models/google-gemini-3-1-pro.md) · [Gemma 3n E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)