Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 Mini Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Mini Reasoning

Microsoft

2025-04-30

Google

Gemma 3n E4B Instructed

Google

2025-06-26

1 month newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Larger context
Max Context:64.0K
Parameters:8.0B
Microsoft

Phi 4 Mini Reasoning

Max Context:-
Parameters:3.8B

Average performance across 1 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:23.7%
Microsoft

Phi 4 Mini Reasoning

+28.3%
Average Score:52.0%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

math
52.4%
general
41.6%
Microsoft

Phi 4 Mini Reasoning

math
+42.2%
94.6%
general
+13.2%
54.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed

2024-06-01

Phi 4 Mini Reasoning

2025-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Microsoft

Phi 4 Mini Reasoning

0 providers
Google

Gemma 3n E4B Instructed

Avg Score:23.7%
Providers:1
Microsoft

Phi 4 Mini Reasoning

+28.3%
Avg Score:52.0%
Providers:0