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.
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
Choose Llama 4 Scout for
- Whole-document reasoning
- High-volume extraction
- Fine-tuning under the Llama 4 license
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
Gemma 3n E4B Instruct vs Meta Llama 3.3 70B Instruct TurboLlama 4 Scout vs Meta Llama 3.3 70B Instruct TurboGemma 3n E4B Instruct vs Meta Llama 3.1 405B InstructLlama 4 Scout vs Meta Llama 3.1 405B InstructGemma 3n E4B Instruct vs Gemini 3.5 FlashLlama 4 Scout vs Gemini 3.5 Flash
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.