DeepSeek R1 Distill Qwen 14B vs Qwen2.5-Coder 32B Instruct Comparison
Comparing DeepSeek R1 Distill Qwen 14B and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 17.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 116.2% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
DeepSeek R1 Distill Qwen 14B is 4 months newer than Qwen2.5-Coder 32B Instruct.
Jan 20, 2025
1.2 years ago
4mo newerSep 19, 2024
1.5 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
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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