Meta

MLlama 3.1 8B InstructOPEN

Llama 3.1 8B Instruct (Meta): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
131K
tokens
Input price
$0.05
per M tokens
Output price
$0.08
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 3.1 8B Instruct, measured by Artificial Analysis. Higher is better.

16×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Llama 3.1 8B Instruct delivers 16 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index7.6
Coding index5.4
Math index4.3
GPQA25.9%
MMLU-Pro47.6%
Humanity's Last Exam5.1%
Long Context Reasoning15.7%
LiveCodeBench11.6%
SciCode13.2%
MATH-50051.9%
AIME7.7%
AIME 20254.3%
IFBench28.6%
τ²-Bench16.4%
τ-Bench Banking1.6%
Terminal-Bench1.5%
Terminal-Bench Hard0.8%
⚡ Speed614.7 tokens/sec
⏱ Latency0.22s to first token
💰 Blended price$0.079 / 1M tokens
📈 Value96.2 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Llama 3.1 8B 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 3.1 8B Instruct?

Llama 3.1 8B 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 7.6 on the Artificial Analysis intelligence index.

Is Llama 3.1 8B Instruct free?

The weights are free and open — you can self-host Llama 3.1 8B Instruct and pay nothing per token. If you prefer a hosted API, list prices are $0.05 per million input tokens and $0.08 per million output tokens.

What is Llama 3.1 8B Instruct good at?

Independent benchmarks from Artificial Analysis give it GPQA 25.9%, MMLU-Pro 47.6%, Humanity's Last Exam 5.1%, Long Context Reasoning 15.7%, LiveCodeBench 11.6%, SciCode 13.2%, MATH-500 51.9%, AIME 7.7%, AIME 2025 4.3%, IFBench 28.6%, τ²-Bench 16.4%, τ-Bench Banking 1.6%, Terminal-Bench 1.5%, Terminal-Bench Hard 0.8%. It is particularly used for code generation.

How fast is Llama 3.1 8B Instruct?

It generates about 614.7 tokens per second, with a median 0.22s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Llama 3.1 8B Instruct?

Yes. Llama 3.1 8B 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.

Related models

Muse Spark 1.1MetaLlama 4 MaverickMetaLlama 3.3 70B InstructMetaLlama 4 ScoutMetaLlama 3.1 70B InstructMetaLlama Guard 4 12BMeta