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Llama 3.1 70B InstructOPEN
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
Prices update automatically — checked daily against provider list prices.
- $0.4 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 46% of the 191 open-weight models tracked here
- 8 of 12 Meta models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Llama 3.1 70B Instruct, measured by Artificial Analysis. Higher is better.
Models at this level cost $0.2 per 1M tokens (median of 22) — this one costs $0.4.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna (batch) and 61 more
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. It scores 6.5 on the Artificial Analysis intelligence index.
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%, Long Context Reasoning 8%, LiveCodeBench 23.2%, SciCode 26.7%, 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.