Llama 4 70B vs Llama 4 Scout
Llama 4 70B 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.
LabMetaMeta
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 2026-07-08. Billed price is list plus the 7% transaction fee.
Choose Llama 4 70B for
- First private fine-tunes
- Classification and extraction
- On-boundary deployments
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 Llama 4 70B.
Can I fine-tune Llama 4 70B or Llama 4 Scout?
Both publish open weights (Llama 4 70B: 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 don’t 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.