Model Comparison

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

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). 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 Diffusion

Google

2025-05-20

5 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Phi 4

Larger context

Max Context:32.0K

Parameters:14.7B

Average performance across 2 common benchmarks

Gemini Diffusion

Average Score:65.0%

Phi 4

+4.3%

Average Score:69.3%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Phi 4

code

+15.7%

76.1%

general

+22.3%

60.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Phi 4

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s

Latency: 0.2ms

Gemini Diffusion

Avg Score:65.0%

Providers:0

Phi 4

+4.3%

Avg Score:69.3%

Providers:1