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Kimi-k1.5 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 4.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
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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.
1 month newer
Kimi-k1.5
Moonshot AI
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 2 common benchmarks
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Kimi-k1.5
Average Score:78.7%(+4.5%)
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Qwen2.5 VL 32B Instruct
Average Score:74.2%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Kimi-k1.5
Avg Score:78.7%(+4.5%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:74.2%
Providers:0