Model Comparison
Devstral Small 1.1 vs Qwen2.5 VL 32B Instruct
Comparing Devstral Small 1.1 and Qwen2.5 VL 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 and Qwen2.5 VL 32B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 9.5B more parameters than Devstral Small 1.1, making it 39.6% 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
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Devstral Small 1.1 does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Devstral Small 1.1 is 4 months newer than Qwen2.5 VL 32B Instruct.
Jul 11, 2025
9 months ago
4mo newerFeb 28, 2025
1.2 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
Devstral Small 1.1
View detailsMistral AI
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Devstral Small 1.1 vs Qwen2.5 VL 32B Instruct