Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 17.8% higher average benchmark score. Llama 3.2 90B Instruct is $1.03 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. 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 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.1 405B Instruct
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 28 common benchmarks
Llama 3.1 405B Instruct
Llama 3.2 90B Instruct
Available providers and their performance metrics
Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Llama 3.1 405B Instruct
Llama 3.2 90B Instruct
Llama 3.1 405B Instruct
Llama 3.2 90B Instruct
Lambda
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Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together