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Meta Llama 3.1 70B Instruct Turbo vs Meta Llama 3 70B Instruct Turbo

On provider list prices, Meta Llama 3.1 70B Instruct Turbo costs $0.88 per million input tokens against $0.88 for Meta Llama 3 70B Instruct Turbo: effectively level. Output is $0.88 against $0.88. On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.1 70B Instruct Turbo Meta Llama 3 70B Instruct Turbo
LabMetaMeta
AccessOpen weightsOpen weights
Context window128K tokens8K tokens
List price, input$0.88 / M tokens$0.88 / M tokens
List price, output$0.88 / M tokens$0.88 / M tokens
Cached inputn/an/a
LicenseLlama communityLlama community
Fine-tunableYesYes

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

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,364 a month on Meta Llama 3.1 70B Instruct Turbo and $1,364 on Meta Llama 3 70B Instruct Turbo at list: a gap of $0.

Meta Llama 3.1 70B Instruct Turbo reads 128K tokens per request against 8K for Meta Llama 3 70B Instruct Turbo, 16.0x the window. That decides which one can take whole documents without splitting them.

Meta Llama 3.1 70B Instruct Turbo$0.88$0.88
Meta Llama 3 70B Instruct Turbo$0.88$0.88
InputOutput

Choose Meta Llama 3.1 70B Instruct Turbo for

  • The longer context window (128K vs 8K tokens)
Meta Llama 3.1 70B Instruct Turbo details

Choose Meta Llama 3 70B Instruct Turbo for

  • Training toward a model you own
Meta Llama 3 70B Instruct Turbo details

Common questions

Which is cheaper, Meta Llama 3.1 70B Instruct Turbo or Meta Llama 3 70B Instruct Turbo?

Meta Llama 3.1 70B Instruct Turbo, on this workload shape. At list prices it is $0.88/$0.88 per million tokens in and out against $0.88/$0.88 for Meta Llama 3 70B Instruct Turbo. Billed on Allocate: $0.94/$0.94 against $0.94/$0.94, list plus 7%.

Which has the bigger context window?

Meta Llama 3.1 70B Instruct Turbo: 131,072 tokens (128K) against 8,192 (8K) for Meta Llama 3 70B Instruct Turbo.

Can I fine-tune Meta Llama 3.1 70B Instruct Turbo or Meta Llama 3 70B Instruct Turbo?

Both publish open weights (Meta Llama 3.1 70B Instruct Turbo: Llama community; Meta Llama 3 70B Instruct Turbo: Llama community), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Meta Llama 3.1 70B Instruct Turbo vs Llama 3.1 Nemotron 70B Instruct HFMeta Llama 3 70B Instruct Turbo vs Llama 3.1 Nemotron 70B Instruct HFMeta Llama 3.1 70B Instruct Turbo vs Qwen2 72B InstructMeta Llama 3 70B Instruct Turbo vs Qwen2 72B Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.1 70B Instruct TurboMeta Llama 3 70B Instruct Turbo

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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