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DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 40.0% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). 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 Distill Qwen 14B
DeepSeek
2025-01-20
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:17.9%
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DeepSeek-V3.2-Exp
Average Score:57.8%(+40.0%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 14B
0 providers
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DeepSeek-V3.2-Exp
2 providers
Novita
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DeepSeek R1 Distill Qwen 14B
Avg Score:17.9%
Providers:0
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DeepSeek-V3.2-Exp
Avg Score:57.8%(+40.0%)
Providers:2