Meta: Llama 3.1 405B (base)
Analysis Summary
Meta's Llama 3.1 405B base is a large text-only model with a 32K context window and measured results across reasoning, mathematics, coding, and instruction following. The benchmark profile indicates broad capability, with particularly useful general knowledge and instruction-following performance for an open base model. It does not include documented tool use or function calling in the supplied data.
The model is best suited to teams able to host, tune, or wrap a large model for internal research, drafting, code assistance, and controlled text-generation pipelines. Its base status matters: compared with an instruction-tuned model, it may require more prompt engineering and output validation for client-facing content. The listed pricing is also high for a model without multimodal or tool features. Choose it where model control and customization matter, not as the default API model for agents or routine agency content.
Assessed August 9, 2026
Editorial notes
Llama 3.1 405B offers broad reasoning and coding capability in a large open model, but its base configuration lacks documented tool use, vision, and instruction-tuned workflow reliability.
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DFO Verdict
Llama 3.1 405B offers broad reasoning and coding capability in a large open model, but its base configuration lacks documented tool use, vision, and instruction-tuned workflow reliability.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.5 Intelligence Index·12.9 Agentic Index·3 Math Index
How Meta: Llama 3.1 405B (base) compares
Meta: Llama 3.1 405B (base) ranks #304 of 428 AI models we track for overall intelligence, #111 of 183 for agentic tasks. Its 33K-token context window is larger than 27% of the models we list. At $4.00 per million input tokens it is cheaper than 8% 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 (base) 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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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3.1 405B (base) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3.1 405B (base)
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This is the base 405B pre-trained version. It has demonstrated strong performance compared to leading closed-source models in human evaluations. Usage of this model is subject to Meta's Acceptable Use Policy.
Frequently asked questions about Meta: Llama 3.1 405B (base)
How much does Meta: Llama 3.1 405B (base) cost?
Meta: Llama 3.1 405B (base) 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 (base)?
Meta: Llama 3.1 405B (base) has a context window of 32,768 tokens (33K).
Who created Meta: Llama 3.1 405B (base)?
Meta: Llama 3.1 405B (base) is developed by Meta and was released on August 2, 2024.