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DeepSeek-R1 vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $2.06 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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.
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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.
8 months newer
DeepSeek-R1
DeepSeek
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($2.06 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek-R1
Average Score:0.0%
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DeepSeek-V3.2-Exp
Average Score:66.1%(+66.1%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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DeepSeek-V3.2-Exp
Avg Score:66.1%(+66.1%)
Providers:2