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DeepSeek R1 Distill Qwen 7B vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 21.7% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 7B is the stronger choice for coding tasks.
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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.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
1 month newer
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
Gemma 3 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:43.4%(+21.7%)
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Gemma 3 4B
Average Score:21.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
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 7B
0 providers
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Gemma 3 4B
1 providers
DeepInfra
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DeepSeek R1 Distill Qwen 7B
Avg Score:43.4%(+21.7%)
Providers:0
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Gemma 3 4B
Avg Score:21.7%
Providers:1