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

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi 4
Microsoft
2024-12-12

Gemini 2.5 Pro
2025-05-20
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Pro

Phi 4
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

Phi 4
Average performance across 2 common benchmarks

Gemini 2.5 Pro

Phi 4
Performance comparison across key benchmark categories

Gemini 2.5 Pro

Phi 4
Phi 4
2024-06-01
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro

Phi 4
DeepInfra

Gemini 2.5 Pro

Phi 4