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Meta Llama 3.1 405B Instruct vs Meta Llama 3.3 70B Instruct Turbo

On provider list prices, Meta Llama 3.3 70B Instruct Turbo costs $1.04 per million input tokens against $3.50 for Meta Llama 3.1 405B Instruct: 3.4x apart. Output is $1.04 against $3.50 (3.4x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.1 405B Instruct Meta Llama 3.3 70B Instruct Turbo
LabMetaMeta
AccessOpen weightsOpen weights
Context window4K tokens128K tokens
List price, input$3.5 / M tokens$1.04 / M tokens
List price, output$3.5 / M tokens$1.04 / 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 $1,612 a month on Meta Llama 3.3 70B Instruct Turbo and $5,425 on Meta Llama 3.1 405B Instruct at list: a gap of $3,813, or 3.4x.

Meta Llama 3.3 70B Instruct Turbo reads 128K tokens per request against 4K for Meta Llama 3.1 405B Instruct, 32.0x the window. That decides which one can take whole documents without splitting them.

Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
Meta Llama 3.1 405B Instruct$3.50$3.50
InputOutput

Choose Meta Llama 3.1 405B Instruct for

  • Training toward a model you own
Meta Llama 3.1 405B Instruct details

Choose Meta Llama 3.3 70B Instruct Turbo for

  • The lower list price ($1.04 in / $1.04 out per M tokens)
  • The longer context window (128K vs 4K tokens)
Meta Llama 3.3 70B Instruct Turbo details

Common questions

Which is cheaper, Meta Llama 3.1 405B Instruct or Meta Llama 3.3 70B Instruct Turbo?

Meta Llama 3.3 70B Instruct Turbo, on this workload shape. At list prices it is $1.04/$1.04 per million tokens in and out against $3.50/$3.50 for Meta Llama 3.1 405B Instruct. Billed on Allocate: $1.11/$1.11 against $3.75/$3.75, list plus 7%.

Which has the bigger context window?

Meta Llama 3.3 70B Instruct Turbo: 131,072 tokens (128K) against 4,096 (4K) for Meta Llama 3.1 405B Instruct.

Can I fine-tune Meta Llama 3.1 405B Instruct or Meta Llama 3.3 70B Instruct Turbo?

Both publish open weights (Meta Llama 3.1 405B Instruct: Llama community; Meta Llama 3.3 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 405B Instruct vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.1 405B Instruct vs Qwen3.5 397B A17bMeta Llama 3.3 70B Instruct Turbo vs Qwen3.5 397B A17bMeta Llama 3.1 405B Instruct vs Kimi K2.7 CodeMeta Llama 3.3 70B Instruct Turbo vs Kimi K2.7 Code

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.1 405B InstructMeta Llama 3.3 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.

Route both modelsTalk to sales