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DeepSeek R1 Distill Qwen 14B vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 3.9% higher average benchmark score. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
3 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:64.1%
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Qwen3 235B A22B
Average Score:68.0%(+3.9%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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Qwen3 235B A22B
4 providers
DeepInfra
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DeepSeek R1 Distill Qwen 14B
Avg Score:64.1%
Providers:0
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Qwen3 235B A22B
Avg Score:68.0%(+3.9%)
Providers:4