Model Comparison
DeepSeek VL2 Tiny vs Devstral Small 1.1
Comparing DeepSeek VL2 Tiny and Devstral Small 1.1 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 Tiny and Devstral Small 1.1 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
Devstral Small 1.1 has 21.0B more parameters than DeepSeek VL2 Tiny, making it 700.0% larger.
Context Window
Maximum input and output token capacity
Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
DeepSeek VL2 Tiny supports multimodal inputs, whereas Devstral Small 1.1 does not.
DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2 Tiny
Devstral Small 1.1
License
Usage and distribution terms
DeepSeek VL2 Tiny is licensed under deepseek, while Devstral Small 1.1 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 Tiny was released on 2024-12-13, while Devstral Small 1.1 was released on 2025-07-11.
Devstral Small 1.1 is 7 months newer than DeepSeek VL2 Tiny.
Dec 13, 2024
1.4 years ago
Jul 11, 2025
9 months ago
7mo 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 Tiny
View detailsDeepSeek
Devstral Small 1.1
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 Tiny vs Devstral Small 1.1.