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DeepSeek R1 Distill Qwen 7B vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 8.3% higher average benchmark score. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 7B
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 7B
Average Score:65.7%
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Kimi K2-Instruct-0905
Average Score:74.0%(+8.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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Kimi K2-Instruct-0905
0 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:65.7%
Providers:0
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Kimi K2-Instruct-0905
Avg Score:74.0%(+8.3%)
Providers:0