+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Zero vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 40.2% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
+
+
+
+
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 Zero
DeepSeek
2025-01-20
GPT-4.1 nano
OpenAI
2025-04-14
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek R1 Zero
Average Score:80.0%(+40.2%)
+
+
+
+
GPT-4.1 nano
Average Score:39.8%
+
+
+
+
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 R1 Zero
0 providers
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
+
+
+
+
DeepSeek R1 Zero
Avg Score:80.0%(+40.2%)
Providers:0
+
+
+
+
GPT-4.1 nano
Avg Score:39.8%
Providers:1