Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 18.2% 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. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
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 27 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