Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 26.3% higher average benchmark score. Gemini 2.5 Pro is available on 2 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
Gemini 2.5 Pro
2025-05-20
Context window and performance specifications
Average performance across 59 common benchmarks
Gemini 2.5 Pro
Qwen2.5-Omni-7B
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Qwen2.5-Omni-7B
Gemini 2.5 Pro
Qwen2.5-Omni-7B
Qwen2.5-Omni-7B