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DeepSeek R1 Distill Qwen 1.5B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 14.3% higher average benchmark score. Overall, Kimi K2 Base is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
5 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Kimi K2 Base
Moonshot AI
2025-07-11
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Kimi K2 Base
Average Score:48.1%(+14.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Kimi K2 Base
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Kimi K2 Base
Avg Score:48.1%(+14.3%)
Providers:0