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DeepSeek R1 Distill Qwen 14B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 12.1% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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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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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
6 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:59.1%
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GPT-5 nano
Average Score:71.2%(+12.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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 14B
0 providers
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GPT-5 nano
2 providers
OpenAI
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DeepSeek R1 Distill Qwen 14B
Avg Score:59.1%
Providers:0
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GPT-5 nano
Avg Score:71.2%(+12.1%)
Providers:2