Comparisons /

Gemma 3n E4B Instruct vs Llama 4 Scout

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 Llama 4 Scout
LabGoogleMeta
AccessNot served on AllocateOpen weights
Context windown/a1M tokens
List price, inputNot served$0.18 / M tokens
List price, outputNot served$0.59 / M tokens
Cached inputn/an/a
LicenseNot listedLlama community
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 Llama 4 Scout for

  • Whole-document reasoning
  • High-volume extraction
  • Fine-tuning under the Llama 4 license
Llama 4 Scout details →

Common questions

Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against an unlisted window for Gemma 3n E4B Instruct.

Can I fine-tune Gemma 3n E4B Instruct or Llama 4 Scout?

Both publish open weights (Gemma 3n E4B Instruct: Not listed; Llama 4 Scout: Llama community), 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.