Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 2.8% higher average benchmark score. Gemini 2.0 Flash offers 920.6K more tokens in context window than Pixtral-12B. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M 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-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.
2 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemini 2.0 Flash
2024-12-01
Cost per million tokens (USD)
Gemini 2.0 Flash
Pixtral-12B
Context window and performance specifications
Average performance across 23 common benchmarks
Gemini 2.0 Flash
Pixtral-12B
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
Pixtral-12B
Gemini 2.0 Flash
Pixtral-12B
Gemini 2.0 Flash
Pixtral-12B
Mistral AI