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Kimi K2 0905 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 13.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Kimi K2 0905 is available on 2 providers. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
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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.
6 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Kimi K2 0905
Moonshot AI
2025-09-05
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 0905
Average Score:86.4%(+13.0%)
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Qwen2.5 VL 32B Instruct
Average Score:73.4%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Qwen2.5 VL 32B Instruct
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Kimi K2 0905
Avg Score:86.4%(+13.0%)
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:73.4%
Providers:0