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Gemini 2.0 Flash Thinking vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 53.1% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.
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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
Gemini 2.0 Flash Thinking
2025-01-21
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Average performance across 46 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:4.8%
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Qwen2.5-Omni-7B
Average Score:57.9%(+53.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Qwen2.5-Omni-7B
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:4.8%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:57.9%(+53.1%)
Providers:0