Meta: Llama 3.1 405B Instruct
Analysis Summary
Meta's Llama 3.1 405B Instruct is listed as a text model with a 131K context window. This entry includes no benchmark results, tool-use support, or function-calling data, so its reasoning, coding, and workflow reliability cannot be verified from the supplied information. The large context capacity is potentially useful for lengthy inputs, but it does not establish how well the model uses them.
The listed input and output prices are $4 per million tokens, which creates a significant cost commitment before quality has been demonstrated. Businesses considering it should test it against concrete tasks and compare both quality and total token cost with measured alternatives. Without that evaluation, there is little basis to select it for routine client work or high-volume automation.
Assessed September 23, 2026
Editorial notes
Llama 3.1 405B Instruct has a 131K context window, but no benchmark results or tool-use features are supplied for this listing. Its high listed token prices make an unvalidated production deployment difficult to justify.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Llama 3.1 405B Instruct has a 131K context window, but no benchmark results or tool-use features are supplied for this listing. Its high listed token prices make an unvalidated production deployment difficult to justify.
How Meta: Llama 3.1 405B Instruct compares
Its 131K-token context window is larger than 37% of the models we list. At $4.00 per million input tokens it is cheaper than 6% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $4.00 | $0.004000 |
| Output | $4.00 | $0.004000 |
What would Meta: Llama 3.1 405B Instruct cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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We route routine calls to cheap models and save Meta: Llama 3.1 405B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3.1 405B Instruct
The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the frontier of open-source LLMs. Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 405B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models including GPT-4o and Claude 3.5 Sonnet in evaluations. Usage of this model is subject to Meta's Acceptable Use Policy.
Frequently asked questions about Meta: Llama 3.1 405B Instruct
How much does Meta: Llama 3.1 405B Instruct cost?
Meta: Llama 3.1 405B Instruct costs $4.00 per million input tokens and $4.00 per million output tokens.
What is the context window of Meta: Llama 3.1 405B Instruct?
Meta: Llama 3.1 405B Instruct has a context window of 131,000 tokens (131K).
Who created Meta: Llama 3.1 405B Instruct?
Meta: Llama 3.1 405B Instruct is developed by Meta and was released on July 23, 2024.