Model Comparison
ERNIE 5.0 vs Qwen3 235B A22B
ERNIE 5.0 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
ERNIE 5.0 outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Qwen3 235B A22B 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.
Context Window
Maximum input and output token capacity
Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
ERNIE 5.0 supports multimodal inputs, whereas Qwen3 235B A22B does not.
ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 5.0
Qwen3 235B A22B
License
Usage and distribution terms
ERNIE 5.0 is licensed under a proprietary license, while Qwen3 235B A22B 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 Qwen3 235B A22B was released on 2025-04-29.
Qwen3 235B A22B is 3 months newer than ERNIE 5.0.
Jan 22, 2025
1.2 years ago
Apr 29, 2025
11 months ago
3mo 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
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about ERNIE 5.0 vs Qwen3 235B A22B