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.
Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. 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 32B Instruct
Alibaba
2024-09-19
Gemma 3n E4B Instructed
2025-06-26
9 months newer
Performance Metrics
Context window and performance specifications
Gemma 3n E4B Instructed
Qwen2.5 32B Instruct
Average performance across 5 common benchmarks
Gemma 3n E4B Instructed
Qwen2.5 32B Instruct
Performance comparison across key benchmark categories
Gemma 3n E4B Instructed
Qwen2.5 32B Instruct
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Qwen2.5 32B Instruct
Gemma 3n E4B Instructed
Qwen2.5 32B Instruct