Llama 3.3 70B
Open
The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.
Llama 3.3 70B is a efficient AI model from Meta. It costs $0.230 per million input tokens and $0.400 per million output tokens (blended $0.281/M), with a 128,000-token context window.
INPUT
$0.230/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
CONTEXT
128,000
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
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 cost?
Llama 3.3 70B costs $0.230 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.281 per million tokens.
What is Llama 3.3 70B's context window?
Llama 3.3 70B supports up to 128,000 tokens of context in a single request.
What is Llama 3.3 70B best for?
Llama 3.3 70B is well suited to Strong open chat baseline, Cheap on Groq/Cerebras and 128K context.
Who makes Llama 3.3 70B?
Llama 3.3 70B is developed and served by Meta.