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Gemini 2.0 Flash Thinking vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 55.8% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct 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 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.
5 days newer
Gemini 2.0 Flash Thinking
2025-01-21
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 32 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:7.0%
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Qwen2.5 VL 72B Instruct
Average Score:62.7%(+55.8%)
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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 VL 72B Instruct
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:7.0%
Providers:0
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Qwen2.5 VL 72B Instruct
Avg Score:62.7%(+55.8%)
Providers:0