Model Comparison
DeepSeek-V3.1 vs Qwen3-Coder 480B A35B Instruct
Qwen3-Coder 480B A35B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.1 outperforms in 1 benchmarks (Aider-Polyglot), while Qwen3-Coder 480B A35B Instruct is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Verified).
Qwen3-Coder 480B A35B Instruct 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-V3.1 has 191.0B more parameters than Qwen3-Coder 480B A35B Instruct, making it 39.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek-V3.1 is licensed under MIT, while Qwen3-Coder 480B A35B 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-V3.1 was released on 2025-01-10, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
Qwen3-Coder 480B A35B Instruct is 1 month newer than DeepSeek-V3.1.
Jan 10, 2025
1.3 years ago
Jan 31, 2025
1.2 years ago
3w newerKnowledge 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-V3.1
View detailsDeepSeek
Qwen3-Coder 480B A35B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3.1 vs Qwen3-Coder 480B A35B Instruct