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Llama 4 70B vs Inkling

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 Inkling
LabMetaThinking Machines
AccessNot served on AllocateOpen weights
Context windown/a1M tokens
List price, inputNot served$1.87 / M tokens
List price, outputNot served$4.68 / M tokens
Cached inputn/a$0.374 / M tokens
LicenseNot listedApache 2.0
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 Inkling for

  • Fine-tuning under a permissive license (Apache 2.0)
  • Published cached-input pricing ($0.37 per M tokens)
Inkling details

Common questions

Which has the bigger context window?

Inkling: 1,000,000 tokens (1M) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or Inkling?

Both publish open weights (Llama 4 70B: Not listed; Inkling: Apache 2.0), 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 TurboInkling vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Inkling vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Meta Llama 3.1 405B InstructInkling vs Meta Llama 3.1 405B Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 70BInkling

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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