Model Comparison

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

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.

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.

Google

Gemma 3 4B

Google

2025-03-12

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Larger context
Max Context:262.1K
Parameters:4.0B
Google

Gemma 3n E4B Instructed LiteRT Preview

Max Context:-
Parameters:1.9B

Average performance across 10 common benchmarks

Google

Gemma 3 4B

+0.9%
Average Score:44.3%
Google

Gemma 3n E4B Instructed LiteRT Preview

Average Score:43.3%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

math
+15.3%
64.5%
code
+22.7%
61.5%
general
40.7%
Google

Gemma 3n E4B Instructed LiteRT Preview

math
49.2%
code
38.9%
general
+7.7%
48.4%
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

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemma 3n E4B Instructed LiteRT Preview

0 providers
Google

Gemma 3 4B

+0.9%
Avg Score:44.3%
Providers:1
Google

Gemma 3n E4B Instructed LiteRT Preview

Avg Score:43.3%
Providers:0