Model Comparison

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

Google

Gemini 2.5 Pro

Google

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.

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.

Microsoft

Phi 4 Reasoning Plus

Microsoft

2025-04-30

Google

Gemini 2.5 Pro

Google

2025-05-20

20 days newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
Microsoft

Phi 4 Reasoning Plus

Max Context:-
Parameters:14.0B

Average performance across 3 common benchmarks

Google

Gemini 2.5 Pro

+9.9%
Average Score:86.0%
Microsoft

Phi 4 Reasoning Plus

Average Score:76.1%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

general
69.4%
code
70.6%
Microsoft

Phi 4 Reasoning Plus

general
+9.9%
79.3%
code
+6.2%
76.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro

2025-01-31

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 2.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Microsoft

Phi 4 Reasoning Plus

0 providers
Google

Gemini 2.5 Pro

+9.9%
Avg Score:86.0%
Providers:1
Microsoft

Phi 4 Reasoning Plus

Avg Score:76.1%
Providers:0