Comparisons /

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.

Gemma 3n E4B Instruct OpenAI GPT-OSS 20B
LabGoogleOpenAI
AccessNot served on AllocateOpen weights
Context windown/a128K tokens
List price, inputNot served$0.05 / M tokens
List price, outputNot served$0.2 / M tokens
Cached inputn/an/a
LicenseNot listedApache 2.0
Fine-tunableYesYes

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
Gemma 3n E4B Instruct details →

Choose OpenAI GPT-OSS 20B for

  • Fine-tuning under a permissive license (Apache 2.0)
OpenAI GPT-OSS 20B details →

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.

Related comparisons

Run the numbers on your workload

Or do not choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.