Model Comparison

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

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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

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.

Microsoft

Phi 4

Microsoft

2024-12-12

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

5 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed LiteRT Preview

Max Context:-
Parameters:1.9B
Microsoft

Phi 4

Larger context
Max Context:32.0K
Parameters:14.7B

Average performance across 6 common benchmarks

Google

Gemma 3n E4B Instructed LiteRT Preview

Average Score:56.0%
Microsoft

Phi 4

+19.0%
Average Score:75.0%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed LiteRT Preview

math
49.2%
code
38.9%
general
48.4%
Microsoft

Phi 4

math
+31.3%
80.5%
code
+37.3%
76.1%
general
+11.8%
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed LiteRT Preview

2024-06-01

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

Google

Gemma 3n E4B Instructed LiteRT Preview

0 providers
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemma 3n E4B Instructed LiteRT Preview

Avg Score:56.0%
Providers:0
Microsoft

Phi 4

+19.0%
Avg Score:75.0%
Providers:1