Model Comparison
Muse Spark 1.1 vs Qwen3.7-PlusWhich is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Qwen3.7-Plus is 3.6x cheaper per token.
Verdict: Muse Spark 1.1 vs Qwen3.7-Plus — which is better?
Muse Spark 1.1 (by Meta) and Qwen3.7-Plus (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Muse Spark 1.1 outperforms in 7 benchmarks (BabyVision, CharXiv-R, Finance Agent v2, Humanity's Last Exam, MCP Atlas, OSWorld-Verified, SWE-Bench Pro), while Qwen3.7-Plus is better at 0 benchmarks. Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Qwen3.7-Plus is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 7 of 7 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3.7-Plus if…
- cost matters — it's about 3.6x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Muse Spark 1.1 outperforms in 7 benchmarks (BabyVision, CharXiv-R, Finance Agent v2, Humanity's Last Exam, MCP Atlas, OSWorld-Verified, SWE-Bench Pro), while Qwen3.7-Plus is better at 0 benchmarks.
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 3.9x more expensive than Qwen3.7-Plus ($0.32/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 3.3x more expensive than Qwen3.7-Plus ($1.28/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Qwen3.7-Plus.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Qwen3.7-Plus's 1,000,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Muse Spark 1.1 and Qwen3.7-Plus support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.1
Qwen3.7-Plus
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark 1.1 was released on 2026-07-09, while Qwen3.7-Plus was released on 2026-05-31.
Muse Spark 1.1 is 1 month newer than Qwen3.7-Plus.
Jul 9, 2026
1 weeks ago
1mo newerMay 31, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Spark 1.1 is available from Meta Model API. Qwen3.7-Plus is available from Together.
Muse Spark 1.1
Qwen3.7-Plus
Outputs Comparison
Key Takeaways
Qwen3.7-Plus
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Muse Spark 1.1 vs Qwen3.7-Plus.