# Gemma 3n E4B Instruct vs OpenAI GPT-OSS 20B

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

| | Gemma 3n E4B Instruct | OpenAI GPT-OSS 20B |
| --- | --- | --- |
| Lab | Google | OpenAI |
| Access | Not served on Allocate | Open weights |
| Context window | n/a | 128K tokens |
| List price, input | Not served | $0.05 / M tokens |
| List price, output | Not served | $0.20 / M tokens |
| Cached input | n/a | n/a |
| License | Not listed | Apache 2.0 |
| 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 OpenAI GPT-OSS 20B for

- Fine-tuning under a permissive license (Apache 2.0)

## Common questions

### Which has the bigger context window?

OpenAI GPT-OSS 20B: 131,072 tokens (128K) against an unlisted window for Gemma 3n E4B Instruct.

### Can I fine-tune Gemma 3n E4B Instruct or OpenAI GPT-OSS 20B?

Both publish open weights (Gemma 3n E4B Instruct: Not listed; OpenAI GPT-OSS 20B: Apache 2.0), 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-openai-gpt-oss-20b) · [Gemma 3n E4B Instruct](https://allocate.network/models/google-gemma-3n-e4b-it.md) · [OpenAI GPT-OSS 20B](https://allocate.network/models/openai-gpt-oss-20b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)