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DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 38.2% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 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-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
10 days newer
DeepSeek-V3.1
DeepSeek
2025-01-10
DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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DeepSeek R1 Distill Qwen 14B
Average Score:16.8%
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DeepSeek-V3.1
Average Score:55.0%(+38.2%)
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-V3.1
2 providers
DeepInfra
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DeepSeek R1 Distill Qwen 14B
Avg Score:16.8%
Providers:0
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DeepSeek-V3.1
Avg Score:55.0%(+38.2%)
Providers:2