Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

Microsoft

Phi 4 Reasoning Plus

Microsoft

Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

Microsoft

Phi 4 Reasoning Plus

Microsoft

2025-04-30

3 months newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

Average Score:73.8%
Microsoft

Phi 4 Reasoning Plus

+1.3%
Average Score:75.1%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%
Microsoft

Phi 4 Reasoning Plus

general
+5.6%
79.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

Phi 4 Reasoning Plus

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers
Microsoft

Phi 4 Reasoning Plus

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:73.8%
Providers:0
Microsoft

Phi 4 Reasoning Plus

+1.3%
Avg Score:75.1%
Providers:0