Model Comparison
Qwen3.5-397B-A17B vs ERNIE 5.0
Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while ERNIE 5.0 is better at 1 benchmark (Humanity's Last Exam).
Qwen3.5-397B-A17B shows notably better performance in the majority of 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 Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).
Input Capabilities
Supported data types and modalities
Both Qwen3.5-397B-A17B and ERNIE 5.0 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.5-397B-A17B
ERNIE 5.0
License
Usage and distribution terms
Qwen3.5-397B-A17B is licensed under Apache 2.0, while ERNIE 5.0 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.5-397B-A17B was released on 2026-02-16, while ERNIE 5.0 was released on 2025-01-22.
Qwen3.5-397B-A17B is 13 months newer than ERNIE 5.0.
Feb 16, 2026
2 months ago
1.1yr newerJan 22, 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
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs ERNIE 5.0