Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 11.3% higher average benchmark score. Gemini 2.5 Flash-Lite offers 977.9K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, Pixtral-12B is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 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.
9 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Pixtral-12B
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 2.5 Flash-Lite
Pixtral-12B
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Pixtral-12B
Gemini 2.5 Flash-Lite
Pixtral-12B
Gemini 2.5 Flash-Lite
Pixtral-12B
Mistral AI