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Gemini 1.5 Flash vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
10 months newer
Gemini 1.5 Flash
2024-05-01
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemini 1.5 Flash
Average Score:68.6%
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Qwen2.5 VL 32B Instruct
Average Score:72.8%(+4.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
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 1.5 Flash
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Qwen2.5 VL 32B Instruct
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Gemini 1.5 Flash
Avg Score:68.6%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:72.8%(+4.2%)
Providers:0