Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 61.1% higher average benchmark score. Grok Code Fast 1 offers 10.0K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $0.95 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. 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 Code Fast 1 is a language model developed by xAI. It achieves strong performance with an average score of 70.8% across 1 benchmarks. Notable strengths include SWE-Bench Verified (70.8%). It supports a 266K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, 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.
11 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Grok Code Fast 1
xAI
2025-08-28
Cost per million tokens (USD)
Grok Code Fast 1
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 14 common benchmarks
Grok Code Fast 1
Llama 3.2 90B Instruct
Available providers and their performance metrics
Grok Code Fast 1
xAI
Llama 3.2 90B Instruct
Grok Code Fast 1
Llama 3.2 90B Instruct
Grok Code Fast 1
Llama 3.2 90B Instruct
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