Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 39.5% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Pixtral Large. Pixtral Large is $4.50 cheaper per million tokens. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google'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.
6 months newer
Gemini 1.5 Pro
2024-05-01
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Gemini 1.5 Pro
Pixtral Large
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 1.5 Pro
Pixtral Large
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Pixtral Large
Gemini 1.5 Pro
Pixtral Large
Gemini 1.5 Pro
Pixtral Large
Mistral AI