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Llama 3.1 405B (base) Model Specs, Costs & Benchmarks (August 2025)

Llama 3.1 405B (base), developed by Meta, features a context window of 32.8K tokens. The model costs $2.00 per million tokens for input and $2.00 per million tokens for output. It was released on August 2, 2024, and has achieved impressive scores in various benchmarks.
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Overview

Llama 3.1 405B (base)Llama 3.1 405B (base)
Model Provider
The organization behind this AI's development
Meta logoMeta
Input Context Window
Maximum input tokens this model can process at once
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
Not specified
tokens
Release Date
When this model first became publicly available
August 2nd, 2024

Pricing

Llama 3.1 405B (base)Llama 3.1 405B (base)
Input Token Cost
Cost per million input tokens
$2.00
per million tokens
Output Token Cost
Cost per million output tokens
$2.00
per million tokens

Capabilities & Features

Llama 3.1 405B (base)Llama 3.1 405B (base)
Input Types
Supported input formats
text
Output Types
Supported output formats
text
Tokenizer
Text encoding system
Llama3
Key Features
Advanced capabilities
Standard capabilities only
Open Source
Model availability

Benchmarks

Llama 3.1 405B (base)Llama 3.1 405B (base)
MMLU
Measures knowledge across 57 subjects like law, math, history, and science
Not available
MMMU
Measures understanding of combined text and images across various domains
Not available
HellaSwag
Measures common sense reasoning by having models complete sentences about everyday situations
Not available

Compare This Model

See how Llama 3.1 405B (base) compares with other top models