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DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 Distill Qwen 7B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 18.9% higher average benchmark score. Overall, DeepSeek R1 Distill Qwen 7B 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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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.
Launched on the same date
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
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Average performance across 4 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:46.8%
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DeepSeek R1 Distill Qwen 7B
Average Score:65.7%(+18.9%)
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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DeepSeek R1 Distill Qwen 7B
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:46.8%
Providers:0
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DeepSeek R1 Distill Qwen 7B
Avg Score:65.7%(+18.9%)
Providers:0