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DeepSeek R1 Distill Qwen 1.5B vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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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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Alibaba Cloud / Qwen Team
Qwen2 7B was created as an efficient variant in the Qwen2 family, designed to provide capable instruction-following with 7 billion parameters. Built to serve as a practical foundation for applications requiring reliable language understanding, it balances performance with deployment efficiency.
6 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:25.4%
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Qwen2 7B Instruct
Average Score:25.9%(+0.6%)
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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Qwen2 7B Instruct
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:25.4%
Providers:0
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Qwen2 7B Instruct
Avg Score:25.9%(+0.6%)
Providers:0