Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 7B Instruct
Alibaba
Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct
Alibaba
2024-07-23
Gemma 3 12B
2025-03-12
7 months newer
Performance Metrics
Context window and performance specifications
Gemma 3 12B
Qwen2 7B Instruct
Average performance across 7 common benchmarks
Gemma 3 12B
Qwen2 7B Instruct
Performance comparison across key benchmark categories
Gemma 3 12B
Qwen2 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Qwen2 7B Instruct
Gemma 3 12B
Qwen2 7B Instruct