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DeepSeek-V3.2-Exp vs o1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 26.3% higher average benchmark score. o1 offers 70.6K more tokens in context window than DeepSeek-V3.2-Exp. 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
9 months newer
o1
OpenAI
2024-12-17
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
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%(+26.3%)
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o1
Average Score:55.3%
Performance comparison across key benchmark categories
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DeepSeek-V3.2-Exp
Coding67.8%(+26.8%)
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o1
Coding41.0%
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
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DeepSeek-V3.2-Exp
Avg Score:81.6%(+26.3%)
Providers:2
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o1
Avg Score:55.3%
Providers:2