Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 21.0% higher average benchmark score. Llama 3.2 90B Instruct offers 120.0K more tokens in context window than Grok-2. Llama 3.2 90B Instruct is $11.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI'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.
1 month newer
Grok-2
xAI
2024-08-13
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Grok-2
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 15 common benchmarks
Grok-2
Llama 3.2 90B Instruct
Available providers and their performance metrics
Grok-2
xAI
Llama 3.2 90B Instruct
Grok-2
Llama 3.2 90B Instruct
Grok-2
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
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