How much does Llama 3.1 8B Instruct cost?

Llama 3.1 8B Instruct costs $0.05 per million input tokens and $0.08 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $1.40.

What is the context length of Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct accepts up to 131,072 tokens (131K) of input and can return up to 117,964 tokens in one response.

Does Llama 3.1 8B Instruct support tool calling and structured outputs?

Yes, Llama 3.1 8B Instruct supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Log probabilities, Deterministic seed, Prompt caching.

What inputs and outputs does Llama 3.1 8B Instruct support?

Llama 3.1 8B Instruct accepts Text as input and produces Text as output.

When was Llama 3.1 8B Instruct released?

Llama 3.1 8B Instruct was released by Meta in 2024-07-23.

Llama 3.1 8B Instruct

llama-3.1-8b-instruct

API Provider site

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to... Built by Meta.

Prices updated recently

Input price

$0.05

per 1M tokens · Standard

Output price

$0.08

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

118K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Llama 3.1 8B Instruct price history

2 price records since 9/25/2026

Llama 3.1 8B Instruct cost calculator

Input20M tokens

Output5M tokens

$1.40/month

Standard pricing

Overview

What is Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is a text & reasoning model from Meta. Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to... Its 131K context window and $0.05 input price make it a candidate for cost-sensitive, high-throughput applications.

Content workflowsClassification

Benchmarks

Llama 3.1 8B Instruct benchmarks & speed

How Llama 3.1 8B Instruct scores on standardized evaluations, and where it lands among every model we track.

6.9

Intelligence Index

Better than 10% of 153 models

141tok/s

Output speed

Better than 73% of 119 models

Reasoning

GPQA Diamond

25.9%

Graduate-level scientific reasoning · top 99%

HLE

5.3%

Humanity's Last Exam · top 78%

Latency & design

Time to first token: 0.86s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

Llama 3.1 8B Instruct pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.05

Per 1M tokens

Cached input · Standard

$0.03

Per 1M tokens

Capabilities

Llama 3.1 8B Instruct Tools

Tools available when using Llama 3.1 8B Instruct through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Not supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Low input cost at $0.05 per million tokens suits high-volume workloads.
A 131K context window covers most focused application workflows.
Supports text & reasoning workloads in one model.

Limitations

Real-world cost still depends on prompt length, response length and provider-specific billing rules.
The 131K context window is smaller than several long-context alternatives.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

Same provider