Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 25.5% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $17.25 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-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
9 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Grok-4
Llama 3.2 90B Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Llama 3.2 90B Instruct
Grok-4
Llama 3.2 90B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together