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DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3 0324
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 2.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
2 months newer
DeepSeek R1 Distill Qwen 7B
DeepSeek
2025-01-20
DeepSeek-V3 0324
DeepSeek
2025-03-25
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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 7B
Average Score:65.7%
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DeepSeek-V3 0324
Average Score:67.8%(+2.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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DeepSeek-V3 0324
1 providers
Novita
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DeepSeek R1 Distill Qwen 7B
Avg Score:65.7%
Providers:0
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DeepSeek-V3 0324
Avg Score:67.8%(+2.1%)
Providers:1