Comprehensive side-by-side LLM comparison
Pixtral Large leads with 1.7% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Pixtral Large. Gemini 2.5 Flash-Lite is $7.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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 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.
7 months newer
Pixtral Large
Mistral AI
2024-11-18
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Pixtral Large
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Flash-Lite
Pixtral Large
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Pixtral Large
Gemini 2.5 Flash-Lite
Pixtral Large
Gemini 2.5 Flash-Lite
Pixtral Large
Mistral AI