DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3 Comparison
Comparing DeepSeek R1 Distill Qwen 1.5B and DeepSeek-V3 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 1 benchmarks (AIME 2024), while DeepSeek-V3 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).
DeepSeek-V3 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 669.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 37596.6% 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 1.5B 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 1.5B was released on 2025-01-20, while DeepSeek-V3 was released on 2024-12-25.
DeepSeek R1 Distill Qwen 1.5B 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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