Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.0% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Llama 3.1 405B Instruct. Llama 4 Maverick is $1.01 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
8 months newer

Llama 3.1 405B Instruct
Meta
2024-07-23

Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)

Llama 3.1 405B Instruct

Llama 4 Maverick
Context window and performance specifications
Average performance across 4 common benchmarks

Llama 3.1 405B Instruct

Llama 4 Maverick
Available providers and their performance metrics

Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic

Llama 3.1 405B Instruct

Llama 4 Maverick

Llama 3.1 405B Instruct

Llama 4 Maverick
Lambda
Replicate
Together

Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together