Model Comparison
ERNIE 5.0 vs Qwen2.5 VL 32B Instruct
ERNIE 5.0 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
ERNIE 5.0 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
ERNIE 5.0 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Input Capabilities
Supported data types and modalities
Both ERNIE 5.0 and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
ERNIE 5.0
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
ERNIE 5.0 is licensed under a proprietary license, while Qwen2.5 VL 32B 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 5.0 was released on 2025-01-22, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 1 month newer than ERNIE 5.0.
Jan 22, 2025
1.2 years ago
Feb 28, 2025
1.1 years ago
1mo 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
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about ERNIE 5.0 vs Qwen2.5 VL 32B Instruct