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Gemini 2.0 Flash Thinking vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 28.7% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
4 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.0 Flash Thinking
2025-01-21
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Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%(+28.7%)
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Qwen2.5 14B Instruct
Average Score:45.5%
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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 14B Instruct
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+28.7%)
Providers:0
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Qwen2.5 14B Instruct
Avg Score:45.5%
Providers:0