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DeepSeek R1 Distill Qwen 14B vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 2.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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Moonshot AI
Kimi K2 Instruct-0905 represents a specific release iteration of the K2 Instruct model, developed to incorporate refinements and improvements. Built to provide enhanced instruction-following based on deployment feedback, it continues the evolution of Moonshot's instruction-tuned offerings.
7 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
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Average performance across 4 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:71.5%
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Kimi K2-Instruct-0905
Average Score:74.0%(+2.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Kimi K2-Instruct-0905
0 providers
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DeepSeek R1 Distill Qwen 14B
Avg Score:71.5%
Providers:0
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Kimi K2-Instruct-0905
Avg Score:74.0%(+2.4%)
Providers:0