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Meta AI•Language & MultimodalOpen Weights

Llama 3.1 405B

The world's largest open-weights foundational language model trained on over 15 trillion tokens.

Official Paper / AnnouncementHugging Face WeightsCompare with Another Model

Technical Specification Matrix

Parameters405 Billion Dense
Context Window128,000 tokens
Access ModelOpen Weights
LicenseLlama 3.1 Community License
Release DateJuly 2024
Author LabMeta AI

Architecture & Engineering Overview

Underlying Neural Architecture

405B Dense Auto-regressive Transformer with GQA

Editorial Analysis

Trained on over 16,000 H100 GPUs, Llama 3.1 405B represents a milestone for open science, providing a premier open baseline for synthetic data generation, model distillation, and high-complexity reasoning.

Empirical Academic Benchmarks

Llama 3.1 405B Benchmark Performance

Meta AI Llama 3.1 405B Research Paper (Jul 2024).

Llama 3.1 405B
MATH 500Math & Logic

Challenging competition-level high school and undergraduate mathematics problems evaluating step-by-step analytical proof capability.

Llama 3.1 405B73.8%
GPQA DiamondPhD Science

Google-proof PhD-level multiple-choice questions in biology, physics, and chemistry designed by domain experts.

Llama 3.1 405B51.1%
MMLU-ProGeneral Reasoning

Expanded reasoning benchmark with 12,000+ challenging multi-step questions across 14 academic and professional subjects.

Llama 3.1 405B73.3%
SWE-bench VerifiedReal-world Coding

Human-verified subset of real-world GitHub issues evaluating autonomous agent capability to debug and resolve real open-source bugs.

Llama 3.1 405B33.6%
HumanEvalCode Generation

Standard benchmark testing zero-shot Python function generation against functional unit test suites.

Llama 3.1 405B89.0%
Evaluations strictly reflect primary evaluation protocols (0-shot CoT or 5-shot) documented by each system's authoring laboratory.

Verified Core Competencies

Distillation Teacher Model
Massive World Knowledge
Synthetic Data Generation
Open Architecture Research

Head-to-Head Comparisons

Comparison Duel

DeepSeek-V3 vs Llama 3.1 405B

A clash of the open-weights giants: DeepSeek's 671B sparse MoE architecture with Multi-head Latent Attention against Meta's 405B dense foundation model.

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