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DeepSeek-V3.2-Exp vs o1-mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 19.9% higher average benchmark score. DeepSeek-V3.2-Exp offers 35.8K more tokens in context window than o1-mini. DeepSeek-V3.2-Exp is $14.32 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-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
1 year newer
o1-mini
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($14.32 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
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%(+19.9%)
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o1-mini
Average Score:60.0%
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-mini
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DeepSeek-V3.2-Exp
Avg Score:79.9%(+19.9%)
Providers:2
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o1-mini
Avg Score:60.0%
Providers:2