Model Comparison
DeepSeek-V3 0324 vs Qwen2.5 32B Instruct
DeepSeek-V3 0324 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 32B Instruct is better at 0 benchmarks.
DeepSeek-V3 0324 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
DeepSeek-V3 0324 has 638.5B more parameters than Qwen2.5 32B Instruct, making it 1964.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Qwen2.5 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Qwen2.5 32B Instruct was released on 2024-09-19.
DeepSeek-V3 0324 is 6 months newer than Qwen2.5 32B Instruct.
Mar 25, 2025
1.1 years ago
6mo newerSep 19, 2024
1.6 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 0324
View detailsDeepSeek
Qwen2.5 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek-V3 0324 vs Qwen2.5 32B Instruct