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DeepSeek R1 Distill Qwen 1.5B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 1.5B leads with 3.4% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
2 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
GPT-4.1 nano
OpenAI
2025-04-14
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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 1.5B
Average Score:43.3%(+3.4%)
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GPT-4.1 nano
Average Score:39.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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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GPT-4.1 nano
1 providers
OpenAI
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:43.3%(+3.4%)
Providers:0
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GPT-4.1 nano
Avg Score:39.8%
Providers:1