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Meta Llama 3.3 70B Instruct Turbo vs Claude Opus 4.8

On provider list prices, Meta Llama 3.3 70B Instruct Turbo costs $1.04 per million input tokens against $5 for Claude Opus 4.8: 4.8x apart. Output is $1.04 against $25 (24.0x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.3 70B Instruct Turbo Claude Opus 4.8
LabMetaAnthropic
AccessOpen weightsAPI only
Context window128K tokens200K tokens
List price, input$1.04 / M tokens$5 / M tokens
List price, output$1.04 / M tokens$25 / 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 $14,750 on Claude Opus 4.8 at list: a gap of $13,138, or 9.2x.

Claude Opus 4.8 reads 200K tokens per request against 128K for Meta Llama 3.3 70B Instruct Turbo, 1.5x 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 Opus 4.8$5$25
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 Opus 4.8 for

  • Hardest reasoning problems
  • High-stakes analysis
  • Escalation tier for agents
Claude Opus 4.8 details

Common questions

Which is cheaper, Meta Llama 3.3 70B Instruct Turbo or Claude Opus 4.8?

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 $5/$25 for Claude Opus 4.8. Billed on Allocate: $1.11/$1.11 against $5.35/$26.75, list plus 7%.

Which has the bigger context window?

Claude Opus 4.8: 200,000 tokens (200K) 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 Opus 4.8?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. Claude Opus 4.8 is a closed model served over API; its weights are not available.

Related comparisons

Meta Llama 3.3 70B Instruct Turbo vs Claude Sonnet 5Claude Opus 4.8 vs Claude Sonnet 5Meta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructClaude Opus 4.8 vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Claude Opus 4.8 vs Llama 4 Scout Instruct (17Bx16E)

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.3 70B Instruct TurboClaude Opus 4.8

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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