DeepSeek R1 Distill Qwen 14B vs DeepSeek-V3 Comparison
Comparing DeepSeek R1 Distill Qwen 14B and DeepSeek-V3 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 3 benchmarks (AIME 2024, LiveCodeBench, MATH-500), while DeepSeek-V3 is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek-V3 has 656.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 4433.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while DeepSeek-V3 was released on 2024-12-25.
DeepSeek R1 Distill Qwen 14B is 1 month newer than DeepSeek-V3.
Jan 20, 2025
1.2 years ago
3w newerDec 25, 2024
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
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