+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3 vs o1-pro
Comprehensive side-by-side LLM comparison
o1-pro leads with 33.4% higher average benchmark score. o1-pro supports multimodal inputs. Overall, o1-pro is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
+
+
+
+
OpenAI
o1-pro was developed as an enhanced version of the o1 reasoning model, designed to provide extended reasoning capabilities with greater depth and reliability. Built for professionals and advanced users tackling complex analytical tasks, it offers enhanced thinking time and reasoning quality for the most demanding applications.
8 days newer
o1-pro
OpenAI
2024-12-17
DeepSeek-V3
DeepSeek
2024-12-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek-V3
Average Score:49.1%
+
+
+
+
o1-pro
Average Score:82.5%(+33.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
o1-pro
+
+
+
+
DeepSeek-V3
Avg Score:49.1%
Providers:1
+
+
+
+
o1-pro
Avg Score:82.5%(+33.4%)
Providers:0