How much does Llama 3.1 70B Instruct cost?

Llama 3.1 70B Instruct costs $0.40 per million input tokens and $0.40 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $10.

What is the context length of Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct accepts up to 131,072 tokens (131K) of input and can return up to 16,384 tokens in one response.

Does Llama 3.1 70B Instruct support tool calling and structured outputs?

Yes, Llama 3.1 70B Instruct supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Deterministic seed.

What inputs and outputs does Llama 3.1 70B Instruct support?

Llama 3.1 70B Instruct accepts Text as input and produces Text as output.

When was Llama 3.1 70B Instruct released?

Llama 3.1 70B Instruct was released by Meta in 2024-07-23.

Llama 3.1 70B Instruct

llama-3.1-70b-instruct

API Provider site

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong... Built by Meta.

Prices updated recently

Input price

$0.40

per 1M tokens · Standard

Output price

$0.40

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

16K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Llama 3.1 70B Instruct price history

2 price records since 9/25/2026

Llama 3.1 70B Instruct cost calculator

Input20M tokens

Output5M tokens

$10/month

Standard pricing

Overview

What is Llama 3.1 70B Instruct?

Llama 3.1 70B 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 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong... Its 131K context window and $0.40 input price make it a candidate for quality-focused production applications.

Content workflowsClassification

Benchmarks

Llama 3.1 70B Instruct benchmarks & speed

How Llama 3.1 70B Instruct scores on standardized evaluations, and where it lands among every model we track.

6.6

Intelligence Index

Better than 6% of 153 models

42tok/s

Output speed

Better than 6% of 119 models

Reasoning

GPQA Diamond

40.9%

Graduate-level scientific reasoning · top 94%

HLE

4.5%

Humanity's Last Exam · top 83%

Latency & design

Time to first token: 1.9s

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 70B Instruct pricing

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

Input · Standard

$0.40

Per 1M tokens

Cached input · Standard

Not available

No listed cached-input rate

Capabilities

Llama 3.1 70B Instruct Tools

Tools available when using Llama 3.1 70B 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

Not supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Not supported

Strengths and limitations

Strengths

Measured results (AA Intelligence 6.6) position it for demanding production work.
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.

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