Meta: Llama 3.1 405B Instruct
Analysis Summary
Llama 3.1 405B Instruct is a large Meta text-to-text model with a 131K context window. The supplied listing contains no intelligence, coding, agentic, or instruction-following benchmarks, and it does not document tool use, function calling, or vision. Its parameter count suggests a substantial deployment, but the available data does not establish how reliably it handles business prompts.
The long context window could be useful for extensive briefs, policy libraries, and document analysis if testing confirms suitable output quality. Without measured results or integration features, however, it is difficult to assess its suitability for autonomous workflows, structured content pipelines, or coding tasks. Input and output are each listed at $4 per million tokens, which increases the cost of experimentation and routine traffic.
Evaluate it only for a specific deployment need where long context is central. For immediate client work, a benchmarked model with documented tools and clearer performance evidence is easier to approve.
Assessed August 9, 2026
Editorial notes
Llama 3.1 405B Instruct offers a 131K context window but has no model-specific benchmark data or documented tools in this listing. Its $4 per million token pricing makes validation essential before using it in client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.1 405B Instruct offers a 131K context window but has no model-specific benchmark data or documented tools in this listing. Its $4 per million token pricing makes validation essential before using it in client workflows.
How Meta: Llama 3.1 405B Instruct compares
Its 131K-token context window is larger than 38% of the models we list. At $4.00 per million input tokens it is cheaper than 9% 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.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
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.
