Model Comparison
ERNIE 4.5 vs Qwen2.5 VL 7B Instruct
Comparing ERNIE 4.5 and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
ERNIE 4.5 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
ERNIE 4.5 has 12.7B more parameters than Qwen2.5 VL 7B Instruct, making it 153.3% larger.
Context Window
Maximum input and output token capacity
Only ERNIE 4.5 specifies input context (128,000 tokens). Only ERNIE 4.5 specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas ERNIE 4.5 does not.
Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 4.5
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
ERNIE 4.5 is licensed under a proprietary license, 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
ERNIE 4.5 was released on 2025-06-25, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.
ERNIE 4.5 is 5 months newer than Qwen2.5 VL 7B Instruct.
Jun 25, 2025
9 months ago
5mo 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 ERNIE 4.5 vs Qwen2.5 VL 7B Instruct