# FLUX.1 Schnell vs Gemma 3n E4B Instruct

FLUX.1 Schnell and Gemma 3n E4B Instruct 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

| | FLUX.1 Schnell | Gemma 3n E4B Instruct |
| --- | --- | --- |
| Lab | Black Forest Labs | Google |
| 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 FLUX.1 Schnell for

- Draft and thumbnail generation
- High-volume image pipelines
- Open-weight image work

## Choose Gemma 3n E4B Instruct for

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

## Common questions

### Can I fine-tune FLUX.1 Schnell or Gemma 3n E4B Instruct?

Both publish open weights (FLUX.1 Schnell: Not listed; Gemma 3n E4B Instruct: 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/bfl-flux-1-schnell-vs-google-gemma-3n-e4b-it) · [FLUX.1 Schnell](https://allocate.network/models/bfl-flux-1-schnell.md) · [Gemma 3n E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)