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Meta Llama 3.3 70B Instruct Turbo vs Mistral Large 3

Mistral Large 3 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.

Meta Llama 3.3 70B Instruct Turbo Mistral Large 3
LabMetaMistral
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$1.04 / M tokensNot served
List price, output$1.04 / M tokensNot served
Cached inputn/an/a
LicenseLlama communityProprietary API
Fine-tunableYesNo

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

Choose Meta Llama 3.3 70B Instruct Turbo for

  • Open weights you can fine-tune and own
Meta Llama 3.3 70B Instruct Turbo details

Choose Mistral Large 3 for

  • EU data-residency workloads
  • Structured outputs
  • Function calling
Mistral Large 3 details

Common questions

Which has the bigger context window?

Meta Llama 3.3 70B Instruct Turbo: 131,072 tokens (128K) against an unlisted window for Mistral Large 3.

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or Mistral Large 3?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. Mistral Large 3 is a closed model served over API; its weights are not available.

Related comparisons

Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Mistral Large 3 vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructMistral Large 3 vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs Qwen3 235B A22B Instruct 2507 FP8 ThroughputMistral Large 3 vs Qwen3 235B A22B Instruct 2507 FP8 Throughput

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.3 70B Instruct TurboMistral Large 3

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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