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MLlama 3.1 70B InstructOPEN

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.

131KContext window · tokens
$0.4Input price · per M tokens
$0.4Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Llama 3.1 70B Instruct, measured by Artificial Analysis. Higher is better.

Math index4
GPQA40.9%
MMLU-Pro67.6%
Humanity's Last Exam4.5%
LiveCodeBench23.2%
MATH-50064.9%
AIME17.3%
AIME 20254%
IFBench34.4%
τ²-Bench15.2%
Terminal-Bench Hard3%
💰 Blended price$0.56 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Llama 3.1 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 daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Llama 3.1 70B Instruct?

Llama 3.1 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.

Is Llama 3.1 70B Instruct free?

The weights are free and open — you can self-host Llama 3.1 70B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.4 per million input tokens and $0.4 per million output tokens.

What is Llama 3.1 70B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 40.9%, MMLU-Pro 67.6%, Humanity's Last Exam 4.5%, LiveCodeBench 23.2%, MATH-500 64.9%, AIME 17.3%, AIME 2025 4%, IFBench 34.4%, τ²-Bench 15.2%, Terminal-Bench Hard 3%. It is particularly used for mathematical reasoning.

Can I self-host Llama 3.1 70B Instruct?

Yes. Llama 3.1 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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