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DeepSeek-V3.2-Exp vs o1-preview
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 29.3% higher average benchmark score. DeepSeek-V3.2-Exp offers 68.6K more tokens in context window than o1-preview. DeepSeek-V3.2-Exp is $74.32 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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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-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
1 year newer
o1-preview
OpenAI
2024-09-12
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($74.32 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:81.6%(+29.3%)
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o1-preview
Average Score:52.3%
Performance comparison across key benchmark categories
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DeepSeek-V3.2-Exp
Coding67.8%(+26.5%)
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o1-preview
Coding41.3%
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-preview
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DeepSeek-V3.2-Exp
Avg Score:81.6%(+29.3%)
Providers:2
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o1-preview
Avg Score:52.3%
Providers:2