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

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

Google

2025-06-26

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
Microsoft

Phi 4

$59.79 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

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

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 5 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:56.2%
Microsoft

Phi 4

+18.7%
Average Score:74.9%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

math
52.4%
code
38.9%
general
41.6%
Microsoft

Phi 4

math
+28.1%
80.5%
code
+37.3%
76.1%
general
+18.6%
60.2%
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

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

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemma 3n E4B Instructed

Avg Score:56.2%
Providers:1
Microsoft

Phi 4

+18.7%
Avg Score:74.9%
Providers:1