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

Gemma 3n E4B Instructed
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.

GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.

GPT-4.1 mini
OpenAI
2025-04-14

Gemma 3n E4B Instructed
2025-06-26
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3n E4B Instructed

GPT-4.1 mini
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed

GPT-4.1 mini
Average performance across 3 common benchmarks

Gemma 3n E4B Instructed

GPT-4.1 mini
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed

GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed
Together

GPT-4.1 mini
ZeroEval
OpenAI

Gemma 3n E4B Instructed

GPT-4.1 mini