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DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 9.7% higher average benchmark score. Overall, DeepSeek-V3 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-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
26 days newer
DeepSeek-V3
DeepSeek
2024-12-25
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
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-V3
Average Score:56.5%(+9.7%)
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-V3
1 providers
DeepSeek
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:46.8%
Providers:0
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DeepSeek-V3
Avg Score:56.5%(+9.7%)
Providers:1