Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 43.4% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). 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.
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
MedGemma 4B IT
2025-05-20
Average performance across 52 common benchmarks
MedGemma 4B IT
Qwen2.5-Omni-7B
Available providers and their performance metrics
MedGemma 4B IT
Qwen2.5-Omni-7B
MedGemma 4B IT
Qwen2.5-Omni-7B