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DeepSeek-V3.2-Exp vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 1.3% higher average benchmark score. GPT-5 mini offers 298.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $1.57 cheaper per million tokens. GPT-5 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
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
1 month newer
GPT-5 mini
OpenAI
2025-08-07
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($1.57 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:68.2%
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GPT-5 mini
Average Score:69.5%(+1.3%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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-5 mini
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DeepSeek-V3.2-Exp
Avg Score:68.2%
Providers:2
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GPT-5 mini
Avg Score:69.5%(+1.3%)
Providers:2