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DeepSeek-V3.2-Exp vs o1-pro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o1-pro supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
9 months newer
o1-pro
OpenAI
2024-12-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.9%(+0.9%)
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o1-pro
Average Score:79.0%
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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
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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o1-pro
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DeepSeek-V3.2-Exp
Avg Score:79.9%(+0.9%)
Providers:2
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o1-pro
Avg Score:79.0%
Providers:0