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Comparisons

Llama 4 70B vs Meta Llama 3.1 405B Instruct

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.

Llama 4 70B Meta Llama 3.1 405B Instruct
LabMetaMeta
AccessNot served on AllocateOpen weights
Context windown/a4K tokens
List price, inputNot served$3.5 / M tokens
List price, outputNot served$3.5 / 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
Llama 4 70B details

Choose Meta Llama 3.1 405B Instruct for

  • Training toward a model you own
Meta Llama 3.1 405B Instruct details

Common questions

Which has the bigger context window?

Meta Llama 3.1 405B Instruct: 4,096 tokens (4K) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or Meta Llama 3.1 405B Instruct?

Both publish open weights (Llama 4 70B: Not listed; Meta Llama 3.1 405B Instruct: Llama community), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Llama 4 70B vs Meta Llama 3.3 70B Instruct TurboMeta Llama 3.1 405B Instruct vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.1 405B Instruct vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Kimi K2.5 Fp4Meta Llama 3.1 405B Instruct vs Kimi K2.5 Fp4

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 70BMeta Llama 3.1 405B Instruct

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.

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