Meta: Llama 3.1 405B Instruct Turbo
Llama 3.1 405B Instruct Turbo is a language model from Meta released on Jul 23, 2024. It reads text and writes text, with a 128K token context window and up to 4K tokens per reply.
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It costs $3.50 per million input tokens and $3.50 per million output tokens.
It supports tool calling, and its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $3.50 / $3.50 per 1M
- Context
- 128K
- Max output
- 4K
- Released
- Jul 23, 2024
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Llama 3.1 405B Instruct Turbo pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $3.50 / 1M tokens | |
|---|---|---|
| Output | $3.50 / 1M tokens |
What Llama 3.1 405B Instruct Turbo costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Llama 3.1 405B Instruct Turbo through an OpenAI compatible API.
- Tools
tools - Temperature
temperature
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Llama 3.1 405B Instruct Turbo questions
How much does the Llama 3.1 405B Instruct Turbo API cost?
$3.50 per million input tokens and $3.50 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Llama 3.1 405B Instruct Turbo?
128,000 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Llama 3.1 405B Instruct Turbo support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is Llama 3.1 405B Instruct Turbo open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama 3.1 405B Instruct Turbo released?
Jul 23, 2024.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Llama 3.1 405B Instruct Turbo?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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