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DeepSeek R1 Distill Qwen 1.5B vs Gemma 3n E2B Instructed LiteRT (Preview)
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 1.5B leads with 6.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 1.5B 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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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
4 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:25.4%(+6.4%)
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:19.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 3n E2B Instructed LiteRT (Preview)
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:25.4%(+6.4%)
Providers:0
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:19.0%
Providers:0