Meta: Llama 3.1 405B (base)
Analysis Summary
Meta: Llama 3.1 405B (base) sits in the Efficient tier on our leaderboard, ranked #215 of 544 published models on overall intelligence. At $4.00 input and $4.00 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window.
Editorial notes
Llama 3.1 405B base from Meta shows reasonable benchmark scores for a base model but lacks instruction tuning, tool use, and has a limited 32K context window at premium pricing.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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.
Architecture Detail
| Instruct Type | none |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3.1 405B (base) stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.1-405b
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | August 2, 2024 |
| Context Length | 32,768 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $4.00 | $0.004000 |
| Output | $4.00 | $0.004000 |
