Model Comparison
Qwen3.5-397B-A17B vs MAI-Code-1-Flash
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 5 benchmarks (GPQA, Humanity's Last Exam, IFBench, SWE-bench Multilingual, SWE-Bench Verified), while MAI-Code-1-Flash is better at 2 benchmarks (AIME 2026, Terminal-Bench 2.0).
Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
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
Qwen3.5-397B-A17B supports multimodal inputs, whereas MAI-Code-1-Flash does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.5-397B-A17B
MAI-Code-1-Flash
License
Usage and distribution terms
Qwen3.5-397B-A17B is licensed under Apache 2.0, while MAI-Code-1-Flash 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 MAI-Code-1-Flash was released on 2026-06-02.
MAI-Code-1-Flash is 4 months newer than Qwen3.5-397B-A17B.
Feb 16, 2026
3 months ago
Jun 2, 2026
4 days 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
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
MAI-Code-1-Flash
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs MAI-Code-1-Flash.