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Llama 4 70B vs Meta Llama 3.3 70B Instruct Turbo

Llama 4 70B 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.

Llama 4 70B Meta Llama 3.3 70B Instruct Turbo
LabMetaMeta
AccessNot served on AllocateOpen weights
Context windown/a128K tokens
List price, inputNot served$1.04 / M tokens
List price, outputNot served$1.04 / M tokens
Cached inputn/an/a
LicenseNot listedLlama 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.

Choose Llama 4 70B for

  • First private fine-tunes
  • Classification and extraction
  • On-boundary deployments
Llama 4 70B details

Choose Meta Llama 3.3 70B Instruct Turbo for

  • Training toward a model you own
Meta Llama 3.3 70B Instruct Turbo 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 Llama 4 70B.

Can I fine-tune Llama 4 70B or Meta Llama 3.3 70B Instruct Turbo?

Both publish open weights (Llama 4 70B: Not listed; 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

Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructLlama 4 70B vs Qwen3 235B A22B Instruct 2507 FP8 ThroughputMeta Llama 3.3 70B Instruct Turbo vs Qwen3 235B A22B Instruct 2507 FP8 Throughput

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 70BMeta 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.

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