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DeepSeek-V3.2-Exp vs o4-mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o4-mini offers 70.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $4.82 cheaper per million tokens. o4-mini supports multimodal inputs. 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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
5 months newer
o4-mini
OpenAI
2025-04-16
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($4.82 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:61.9%
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o4-mini
Average Score:62.9%(+1.0%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2-Exp
Coding67.8%
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o4-mini
Coding68.1%(+0.3%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
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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o4-mini
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DeepSeek-V3.2-Exp
Avg Score:61.9%
Providers:2
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o4-mini
Avg Score:62.9%(+1.0%)
Providers:1