# Gemma 3n E4B Instruct vs Llama 4 70B

Gemma 3n E4B Instruct and Llama 4 70B are not currently in the Allocate serving catalog, so this page lists no prices for them: every price on this site comes from the live catalog.

## Specifications

| | Gemma 3n E4B Instruct | Llama 4 70B |
| --- | --- | --- |
| Lab | Google | Meta |
| Access | Not served on Allocate | Not served on Allocate |
| Context window | n/a | n/a |
| List price, input | Not served | Not served |
| List price, output | Not served | Not served |
| Cached input | n/a | n/a |
| License | Not listed | Not listed |
| Fine-tunable | Yes | Yes |

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

## Choose Gemma 3n E4B Instruct for

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

## Choose Llama 4 70B for

- First private fine-tunes
- Classification and extraction
- On-boundary deployments

## Common questions

### Can I fine-tune Gemma 3n E4B Instruct or Llama 4 70B?

Both publish open weights (Gemma 3n E4B Instruct: Not listed; Llama 4 70B: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/google-gemma-3n-e4b-it-vs-llama-4-70b) · [Gemma 3n E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [Llama 4 70B](https://allocate.network/models/llama-4-70b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)