Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 11.5% higher average benchmark score. Gemini 2.5 Pro offers 977.9K more tokens in context window than Pixtral-12B. Pixtral-12B is $10.95 cheaper per million tokens. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
8 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Pixtral-12B
Context window and performance specifications
Average performance across 27 common benchmarks
Gemini 2.5 Pro
Pixtral-12B
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Pixtral-12B
Gemini 2.5 Pro
Pixtral-12B
Pixtral-12B
Mistral AI