Comparisons

Meta Llama 3.3 70B Instruct Turbo vs Claude Sonnet 5

On provider list prices, Meta Llama 3.3 70B Instruct Turbo costs $1.04 per million input tokens against $3 for Claude Sonnet 5: 2.9x apart. Output is $1.04 against $15 (14.4x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.3 70B Instruct Turbo Claude Sonnet 5
LabMetaAnthropic
AccessOpen weightsAPI only
Context window128K tokens1M tokens
List price, input$1.04 / M tokens$3 / M tokens
List price, output$1.04 / M tokens$15 / M tokens
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.

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 $8,850 on Claude Sonnet 5 at list: a gap of $7,238, or 5.5x.

Claude Sonnet 5 reads 1M tokens per request against 128K for Meta Llama 3.3 70B Instruct Turbo, 7.6x the window. That decides which one can take whole documents without splitting them.

Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
Claude Sonnet 5$3$15
InputOutput

Choose Meta Llama 3.3 70B Instruct Turbo for

  • The lower list price ($1.04 in / $1.04 out per M tokens)
  • Open weights you can fine-tune and own
Meta Llama 3.3 70B Instruct Turbo details

Choose Claude Sonnet 5 for

  • Judgment calls with policy context
  • Customer-facing writing
  • Review and escalation flows
Claude Sonnet 5 details

Common questions

Which is cheaper, Meta Llama 3.3 70B Instruct Turbo or Claude Sonnet 5?

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/$15 for Claude Sonnet 5. Billed on Allocate: $1.11/$1.11 against $3.21/$16.05, list plus 7%.

Which has the bigger context window?

Claude Sonnet 5: 1,000,000 tokens (1M) against 131,072 (128K) for Meta Llama 3.3 70B Instruct Turbo.

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or Claude Sonnet 5?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. Claude Sonnet 5 is a closed model served over API; its weights are not available.

Related comparisons

Run the numbers on your workload

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.