Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Flash-Lite
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.

Pixtral Large
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%). The model shows particular specialization in general tasks with an average performance of 91.0%. 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.

Pixtral Large
Mistral AI
2024-11-18

Gemini 2.5 Flash-Lite
2025-06-17
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Pixtral Large
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Pixtral Large
Average performance across 1 common benchmarks

Gemini 2.5 Flash-Lite

Pixtral Large
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Pixtral Large
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Pixtral Large
Mistral AI

Gemini 2.5 Flash-Lite

Pixtral Large