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Llama 4 70B vs Kimi K2.7 Code

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 Kimi K2.7 Code
LabMetaMoonshot AI
AccessNot served on AllocateOpen weights
Context windown/a256K tokens
List price, inputNot served$0.95 / M tokens
List price, outputNot served$4 / M tokens
Cached inputn/a$0.19 / M tokens
LicenseNot listedNot listed
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 Kimi K2.7 Code for

  • Published cached-input pricing ($0.19 per M tokens)
Kimi K2.7 Code details

Common questions

Which has the bigger context window?

Kimi K2.7 Code: 262,144 tokens (256K) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or Kimi K2.7 Code?

Both publish open weights (Llama 4 70B: Not listed; Kimi K2.7 Code: Not listed), 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 calculatorLlama 4 70BKimi K2.7 Code

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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