Model Comparison
DeepSeek VL2 vs Qwen3-Next-80B-A3B-Base
Comparing DeepSeek VL2 and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 and Qwen3-Next-80B-A3B-Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3-Next-80B-A3B-Base has 53.0B more parameters than DeepSeek VL2, making it 196.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input Capabilities
Supported data types and modalities
DeepSeek VL2 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2
Qwen3-Next-80B-A3B-Base
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.
Qwen3-Next-80B-A3B-Base is 9 months newer than DeepSeek VL2.
Dec 13, 2024
1.4 years ago
Sep 10, 2025
7 months ago
9mo 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 VL2
View detailsDeepSeek
Qwen3-Next-80B-A3B-Base
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 vs Qwen3-Next-80B-A3B-Base.