How much does Llama 3.3 70B Instruct cost?

Llama 3.3 70B Instruct costs $0.10 per million input tokens and $0.32 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $3.60.

What is the context length of Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct accepts up to 131,072 tokens (131K) of input and can return up to 16,384 tokens in one response.

Does Llama 3.3 70B Instruct support tool calling and structured outputs?

Yes, Llama 3.3 70B 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 3.3 70B Instruct support?

Llama 3.3 70B Instruct accepts Text as input and produces Text as output.

When was Llama 3.3 70B Instruct released?

Llama 3.3 70B Instruct was released by Meta in 2024-12-06.

Llama 3.3 70B Instruct

llama-3.3-70b-instruct

API Provider site

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model... Built by Meta.

Prices updated recently

Input price

$0.10

per 1M tokens · Standard

Output price

$0.32

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

16K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Llama 3.3 70B Instruct price history

6 price records since 9/25/2026 · 4 changes

Llama 3.3 70B Instruct cost calculator

Input20M tokens

Output5M tokens

$3.60/month

Standard pricing

Overview

What is Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is a text & reasoning model from Meta. The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model... Its 131K context window and $0.10 input price make it a candidate for cost-sensitive, high-throughput applications.

Content workflowsClassification

Benchmarks

Llama 3.3 70B Instruct benchmarks & speed

How Llama 3.3 70B Instruct scores on standardized evaluations, and where it lands among every model we track.

7.7

Intelligence Index

Better than 14% of 153 models

82tok/s

Output speed

Better than 39% of 119 models

Reasoning

GPQA Diamond

49.8%

Graduate-level scientific reasoning · top 88%

HLE

3.6%

Humanity's Last Exam · top 94%

Latency & design

Time to first token: 1.7s

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 3.3 70B Instruct pricing

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

Input · Standard

$0.10

Per 1M tokens

Cached input · Standard

$0.11

Per 1M tokens

Capabilities

Llama 3.3 70B Instruct Tools

Tools available when using Llama 3.3 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

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Low input cost at $0.10 per million tokens suits high-volume workloads.
A 131K context window covers most focused application workflows.
Supports text & reasoning workloads in one model.

Limitations

Generated tokens cost 3× more than input tokens, which matters for verbose responses.
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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