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DeepSeek-V3.2-Exp vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 49.1% higher average benchmark score. DeepSeek-V3.2-Exp offers 208.9K more tokens in context window than GPT-3.5 Turbo. DeepSeek-V3.2-Exp is $1.32 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
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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($1.32 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
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%(+49.1%)
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GPT-3.5 Turbo
Average Score:30.8%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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-3.5 Turbo
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DeepSeek-V3.2-Exp
Avg Score:79.9%(+49.1%)
Providers:2
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2