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DeepSeek R1 Distill Qwen 1.5B vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
. 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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Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
6 months newer
Gemma 2 9B
2024-06-27
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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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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Gemma 2 9B
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:0.0%
Providers:0
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Gemma 2 9B
Avg Score:0.0%
Providers:0