Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 7.4% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% 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.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Gemma 3 12B
2025-03-12
Context window and performance specifications
Average performance across 52 common benchmarks
Gemma 3 12B
Qwen2.5 VL 72B Instruct
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Qwen2.5 VL 72B Instruct
Gemma 3 12B
Qwen2.5 VL 72B Instruct
Gemma 3 12B
Qwen2.5 VL 72B Instruct