Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 31.6% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
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.
2 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 56 common benchmarks
Gemini 2.5 Pro Preview 06-05
Qwen2.5-Omni-7B
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Qwen2.5-Omni-7B
Gemini 2.5 Pro Preview 06-05
Qwen2.5-Omni-7B
Gemini 2.5 Pro Preview 06-05
Qwen2.5-Omni-7B