Comprehensive side-by-side LLM comparison
Pixtral Large leads with 8.7% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Pixtral Large. Pixtral Large is $10.00 cheaper per million tokens. Overall, Pixtral Large 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.
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
7 months newer
Pixtral Large
Mistral AI
2024-11-18
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Pixtral Large
Context window and performance specifications
Average performance across 14 common benchmarks
Grok-4
Pixtral Large
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Pixtral Large
Grok-4
Pixtral Large
Pixtral Large
Mistral AI