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DeepSeek-V3.2-Exp vs GPT-4o mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 49.4% higher average benchmark score. DeepSeek-V3.2-Exp offers 85.0K more tokens in context window than GPT-4o mini. Both models have similar pricing. GPT-4o mini supports multimodal inputs. 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
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
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($0.07 cheaper)
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GPT-4o mini
Input:$0.15
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:73.9%(+49.4%)
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GPT-4o mini
Average Score:24.4%
Performance comparison across key benchmark categories
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DeepSeek-V3.2-Exp
Coding67.8%(+59.1%)
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GPT-4o mini
Coding8.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
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DeepSeek-V3.2-Exp
Avg Score:73.9%(+49.4%)
Providers:2
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GPT-4o mini
Avg Score:24.4%
Providers:1