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DeepSeek-V2.5 vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 7.4% higher average benchmark score. DeepSeek-V3.2-Exp offers 213.0K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.26 cheaper)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V2.5
Average Score:39.5%(+7.4%)
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DeepSeek-V3.2-Exp
Average Score:32.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:39.5%(+7.4%)
Providers:3
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DeepSeek-V3.2-Exp
Avg Score:32.1%
Providers:2