Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Microsoft

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.

Google

Gemini 1.5 Pro

Google

2024-05-01

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

12 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 2 common benchmarks

Google

Gemini 1.5 Pro

Average Score:67.5%
Microsoft

Phi 4 Reasoning

+2.6%
Average Score:70.0%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

code
74.5%
math
74.9%
general
68.9%
Microsoft

Phi 4 Reasoning

code
+2.2%
76.7%
math
+1.7%
76.6%
general
+5.3%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

Phi 4 Reasoning

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 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Microsoft

Phi 4 Reasoning

0 providers
Google

Gemini 1.5 Pro

Avg Score:67.5%
Providers:1
Microsoft

Phi 4 Reasoning

+2.6%
Avg Score:70.0%
Providers:0