Comprehensive side-by-side LLM comparison
Grok-2 leads with 4.1% higher average benchmark score. Pixtral Large offers 120.0K more tokens in context window than Grok-2. Pixtral Large is $4.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
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.
3 months newer
Grok-2
xAI
2024-08-13
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Grok-2
Pixtral Large
Context window and performance specifications
Average performance across 12 common benchmarks
Grok-2
Pixtral Large
Available providers and their performance metrics
Grok-2
xAI
Pixtral Large
Grok-2
Pixtral Large
Grok-2
Pixtral Large
Mistral AI