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Comparisons

Kimi K2.5 vs Llama 4 70B

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.

Kimi K2.5 Llama 4 70B
LabTogethercomputerMeta
AccessOpen weightsNot served on Allocate
Context window256K tokensn/a
List price, input$0.5 / M tokensNot served
List price, output$2.8 / M tokensNot served
Cached inputn/an/a
LicenseNot listedNot listed
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

Choose Kimi K2.5 for

  • Whole-document reasoning
  • Long-context retrieval
  • Open-weight fine-tuning
Kimi K2.5 details

Choose Llama 4 70B for

  • First private fine-tunes
  • Classification and extraction
  • On-boundary deployments
Llama 4 70B details

Common questions

Which has the bigger context window?

Kimi K2.5: 262,144 tokens (256K) against an unlisted window for Llama 4 70B.

Can I fine-tune Kimi K2.5 or Llama 4 70B?

Both publish open weights (Kimi K2.5: Not listed; Llama 4 70B: 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 calculatorKimi K2.5Llama 4 70B

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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