+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 14B vs GPT-5 nano
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 14B leads with 4.5% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
+
+
+
+
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
6 months newer
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 14B
Average Score:35.8%(+4.5%)
+
+
+
+
GPT-5 nano
Average Score:31.3%
+
+
+
+
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
+
+
+
+
DeepSeek R1 Distill Qwen 14B
0 providers
+
+
+
+
GPT-5 nano
2 providers
OpenAI
+
+
+
+
DeepSeek R1 Distill Qwen 14B
Avg Score:35.8%(+4.5%)
Providers:0
+
+
+
+
GPT-5 nano
Avg Score:31.3%
Providers:2