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DeepSeek VL2 Small vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
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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.
4 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
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 VL2 Small
Average Score:54.4%
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GPT-4.1 nano
Average Score:55.8%(+1.5%)
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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 VL2 Small
0 providers
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GPT-4.1 nano
1 providers
OpenAI
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DeepSeek VL2 Small
Avg Score:54.4%
Providers:0
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GPT-4.1 nano
Avg Score:55.8%(+1.5%)
Providers:1