Model Comparison

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

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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Gemma 3n E4B

Google

2025-06-26

9 months newer

Average performance across 3 common benchmarks

Gemma 3n E4B

+0.4%

Average Score:70.6%

Qwen2.5-Coder 7B Instruct

Average Score:70.2%

Performance comparison across key benchmark categories

Gemma 3n E4B

reasoning

+3.2%

73.4%

general

+7.4%

59.6%

Qwen2.5-Coder 7B Instruct

reasoning

70.2%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E4B

0 providers

Qwen2.5-Coder 7B Instruct

0 providers

Gemma 3n E4B

+0.4%

Avg Score:70.6%

Providers:0

Qwen2.5-Coder 7B Instruct

Avg Score:70.2%

Providers:0