Meta

MLlama 3.3 70B InstructOPEN

Llama 3.3 70B Instruct (Meta): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.13
per M tokens
Output price
$0.4
per M tokens
Provider
Meta

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Llama 3.3 70B Instruct, measured by Artificial Analysis. Higher is better.

2.4×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Llama 3.3 70B Instruct delivers 2.4 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index9.4
Coding index11.9
Math index7.7
GPQA49.8%
MMLU-Pro71.3%
Humanity's Last Exam4%
Long Context Reasoning15%
LiveCodeBench28.8%
SciCode26%
MATH-50077.3%
AIME30%
AIME 20257.7%
IFBench47.1%
τ²-Bench26.6%
τ-Bench Banking1%
Terminal-Bench4.9%
Terminal-Bench Hard3%
⚡ Speed77.6 tokens/sec
⏱ Latency0.65s to first token
💰 Blended price$0.63 / 1M tokens
📈 Value14.9 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Llama 3.3 70B Instruct is an open-weight AI model by Meta. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is an AI language model from Meta. It is open-weight: you can download it and run it on your own hardware, for free. It scores 9.4 on the Artificial Analysis intelligence index.

Is Llama 3.3 70B Instruct free?

The weights are free and open — you can self-host Llama 3.3 70B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.13 per million input tokens and $0.4 per million output tokens.

What is Llama 3.3 70B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 49.8%, MMLU-Pro 71.3%, Humanity's Last Exam 4%, Long Context Reasoning 15%, LiveCodeBench 28.8%, SciCode 26%, MATH-500 77.3%, AIME 30%, AIME 2025 7.7%, IFBench 47.1%, τ²-Bench 26.6%, τ-Bench Banking 1%, Terminal-Bench 4.9%, Terminal-Bench Hard 3%. It is particularly used for code generation.

How fast is Llama 3.3 70B Instruct?

It generates about 77.6 tokens per second, with a median 0.65s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Llama 3.3 70B Instruct?

Yes. Llama 3.3 70B Instruct has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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