Muse Spark Open vs Qwen3.7 Max
Muse Spark Open and Qwen3.7 Max are closely matched at 44.9 and 45.2 on the LLM Stats Score. Qwen3.7 Max is 1.1x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark Open and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 44.9 and 45.2.
In the 3 individual benchmarks reported for both models, Muse Spark Open wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7 Max is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark Open
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.7 Max
- cost matters — it's about 1.1x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 42 for Qwen3.7 Max
Muse Spark Open outperforms in 2 benchmarks (MCP Atlas, SciCode), while Qwen3.7 Max is better at 1 benchmark (GPQA).
Muse Spark Open shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark Open ($1.25/1M tokens) costs the same as Qwen3.7 Max ($1.25/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.1x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Muse Spark Open is more expensive than Qwen3.7 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Qwen3.7 Max does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark Open
Qwen3.7 Max
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Qwen3.7 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Qwen3.7 Max was released on 2026-05-19.
Muse Spark Open is 5 months newer than Qwen3.7 Max.
Oct 15, 2026
4 days ago
4mo newerMay 19, 2026
5 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 Open is available from Together. Qwen3.7 Max is available from Novita, DeepInfra, Together.
Muse Spark Open
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Qwen3.7 Max.