Allocate
ModelsSign inTalk to sales
Comparisons

Deepseek V3.1 NVFP4 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.

Deepseek V3.1 NVFP4 Llama 4 70B
LabDeepSeekMeta
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$0.6 / M tokensNot served
List price, output$1.7 / M tokensNot served
Cached inputn/an/a
LicenseMITNot 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 Deepseek V3.1 NVFP4 for

  • Fine-tuning under a permissive license (MIT)
Deepseek V3.1 NVFP4 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?

Deepseek V3.1 NVFP4: 131,072 tokens (128K) against an unlisted window for Llama 4 70B.

Can I fine-tune Deepseek V3.1 NVFP4 or Llama 4 70B?

Both publish open weights (Deepseek V3.1 NVFP4: MIT; 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

Deepseek V3.1 NVFP4 vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Deepseek V3.1 NVFP4 vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Meta Llama 3.3 70B Instruct TurboDeepseek V3.1 NVFP4 vs Meta Llama 3.1 405B InstructLlama 4 70B vs Meta Llama 3.1 405B Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorDeepseek V3.1 NVFP4Llama 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.

Route both modelsTalk to sales