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Llama 3.3 70B Instruct

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The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.

Llama 3.3 70B Instruct is a efficient AI model from Meta. It costs $0.100 per million input tokens and $0.320 per million output tokens (blended $0.166/M), with a 131,072-token context window.

Profile inherited from upstream Llama 3.3 70B ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.100/M
per million input tokens
OUTPUT
$0.320/M
per million output tokens
BLENDED 70/30
$0.166/M
unchanged since 3 May
CONTEXT
131,072
tokens
What it is good at
  • Strong open chat baseline
  • Cheap on Groq/Cerebras
  • 128K context
  • Wide ecosystem
Typical use cases
  • Self-hosted production chat
  • Cost benchmarking
  • RAG

Benchmarks

vs. best public score
Scores inherited from Llama 3.3 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU86%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH77%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1257 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Llama 3.3 70B Instruct cost?

Llama 3.3 70B Instruct costs $0.100 per million input tokens and $0.320 per million output tokens, for a blended reference rate of $0.166 per million tokens.

What is Llama 3.3 70B Instruct's context window?

Llama 3.3 70B Instruct supports up to 131,072 tokens of context in a single request.

What is Llama 3.3 70B Instruct best for?

Llama 3.3 70B Instruct is well suited to Strong open chat baseline, Cheap on Groq/Cerebras and 128K context.

Who makes Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is developed and served by Meta.

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