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Gemma 3n E4B Instruct vs Meta Llama 3.3 70B Instruct Turbo

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 Meta Llama 3.3 70B Instruct Turbo
LabGoogleMeta
AccessNot served on AllocateOpen weights
Context windown/a128K tokens
List price, inputNot served$1.04 / M tokens
List price, outputNot served$1.04 / 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 Meta Llama 3.3 70B Instruct Turbo for

  • Training toward a model you own
Meta Llama 3.3 70B Instruct Turbo details →

Common questions

Which has the bigger context window?

Meta Llama 3.3 70B Instruct Turbo: 131,072 tokens (128K) against an unlisted window for Gemma 3n E4B Instruct.

Can I fine-tune Gemma 3n E4B Instruct or Meta Llama 3.3 70B Instruct Turbo?

Both publish open weights (Gemma 3n E4B Instruct: Not listed; Meta Llama 3.3 70B Instruct Turbo: Llama community), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

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Run the numbers on your workload

LLM price comparisonAgent cost calculatorGemma 3n E4B InstructMeta Llama 3.3 70B Instruct Turbo

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.

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