+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Tiny vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 8.6% higher average benchmark score. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
+
+
+
+
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 Tiny
DeepSeek
2024-12-13
GPT-4.1 nano
OpenAI
2025-04-14
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek VL2 Tiny
Average Score:47.2%
+
+
+
+
GPT-4.1 nano
Average Score:55.8%(+8.6%)
+
+
+
+
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
+
+
+
+
DeepSeek VL2 Tiny
0 providers
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
+
+
+
+
DeepSeek VL2 Tiny
Avg Score:47.2%
Providers:0
+
+
+
+
GPT-4.1 nano
Avg Score:55.8%(+8.6%)
Providers:1