Model Comparison
LongCat-Flash-Lite vs Qwen2.5 VL 7B Instruct
Comparing LongCat-Flash-Lite and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
LongCat-Flash-Lite and Qwen2.5 VL 7B 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
LongCat-Flash-Lite has 60.2B more parameters than Qwen2.5 VL 7B Instruct, making it 726.3% larger.
Context Window
Maximum input and output token capacity
Only LongCat-Flash-Lite specifies input context (256,000 tokens). Only LongCat-Flash-Lite specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas LongCat-Flash-Lite does not.
Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
LongCat-Flash-Lite
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
LongCat-Flash-Lite is licensed under MIT, while Qwen2.5 VL 7B 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
LongCat-Flash-Lite was released on 2026-02-05, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
LongCat-Flash-Lite is 13 months newer than Qwen2.5 VL 7B Instruct.
Feb 5, 2026
2 months ago
1.0yr newerJan 26, 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
Qwen2.5 VL 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about LongCat-Flash-Lite vs Qwen2.5 VL 7B Instruct