Model Comparison
Qwen3.5-397B-A17B vs Muse Spark
Muse Spark significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 0 benchmarks, while Muse Spark is better at 4 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified, Terminal-Bench 2.0).
Muse Spark significantly outperforms across most 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
Both Qwen3.5-397B-A17B and Muse Spark support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.5-397B-A17B
Muse Spark
License
Usage and distribution terms
Qwen3.5-397B-A17B is licensed under Apache 2.0, while Muse Spark 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 Muse Spark was released on 2026-04-08.
Muse Spark is 2 months newer than Qwen3.5-397B-A17B.
Feb 16, 2026
3 months ago
Apr 8, 2026
1 months 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
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs Muse Spark.