+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano offers 269.4K more tokens in context window than DeepSeek VL2. GPT-5 nano is $4809.05 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
+
+
+
+
OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
7 months newer
DeepSeek VL2
DeepSeek
2024-12-13
GPT-5 nano
OpenAI
2025-08-07
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek VL2
Input:$9.50
Output:$4800.00
+
+
+
+
GPT-5 nano
Input:$0.05
Output:$0.40($4809.05 cheaper)
Performance Metrics
Context window and performance specifications
+
+
+
+
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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
+
+
+
+
GPT-5 nano
+
+
+
+
DeepSeek VL2
Avg Score:0.0%
Providers:1
+
+
+
+
GPT-5 nano
Avg Score:0.0%
Providers:2