Model Comparison

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

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

2025-05-20

20 days newer

Average performance across 4 common benchmarks

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Average Score:21.3%
Microsoft

Phi 4 Reasoning

+42.9%
Average Score:64.2%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed LiteRT (Preview)

code
33.2%
math
40.4%
general
42.2%
Microsoft

Phi 4 Reasoning

code
+43.5%
76.7%
math
+36.2%
76.6%
general
+32.1%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B Instructed LiteRT (Preview)

2024-06-01

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

Gemma 3n E2B Instructed LiteRT (Preview)

0 providers
Microsoft

Phi 4 Reasoning

0 providers
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:21.3%
Providers:0
Microsoft

Phi 4 Reasoning

+42.9%
Avg Score:64.2%
Providers:0