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.

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Reasoning
Microsoft
2025-04-30

Gemini 2.5 Flash-Lite
2025-06-17
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Phi 4 Reasoning
Average performance across 3 common benchmarks

Gemini 2.5 Flash-Lite

Phi 4 Reasoning
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Phi 4 Reasoning
Gemini 2.5 Flash-Lite
2025-01-01
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Phi 4 Reasoning

Gemini 2.5 Flash-Lite

Phi 4 Reasoning