Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 4B
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.
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 3 4B
2025-03-12
5 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 4B
Qwen2.5-Coder 7B Instruct
Average performance across 6 common benchmarks
Gemma 3 4B
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Gemma 3 4B
Qwen2.5-Coder 7B Instruct
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Qwen2.5-Coder 7B Instruct
Gemma 3 4B
Qwen2.5-Coder 7B Instruct