Model Comparison

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

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.1

OpenAI

2025-04-14

Google

Gemma 3n E4B

Google

2025-06-26

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B

Max Context:-
Parameters:8.0B
OpenAI

GPT-4.1

Larger context
Max Context:1.1M

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
+6.2%
59.6%
OpenAI

GPT-4.1

general
53.4%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

GPT-4.1

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

0 providers
OpenAI

GPT-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
OpenAI

GPT-4.1

Avg Score:0.0%
Providers:1