Muse Spark 1.1 vs Qwen3.7 Max
Muse Spark 1.1 leads the LLM Stats Score 49.9 to 45.4. Qwen3.7 Max is 1.1x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.1 leads the overall LLM Stats Score 49.9 to 45.4, ranking #17 overall.
In the 4 individual benchmarks reported for both models, Muse Spark 1.1 wins 4; 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 1.1 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 1.1
- overall performance matters — it scores 49.9 and ranks #17 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 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 Jul 2026
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
11 reported for Muse Spark 1.1 · 42 for Qwen3.7 Max
Muse Spark 1.1 outperforms in 4 benchmarks (Finance Agent v2, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro), while Qwen3.7 Max is better at 0 benchmarks.
Muse Spark 1.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.1 ($1.25/1M tokens) costs the same as Qwen3.7 Max ($1.25/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 1.1x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Muse Spark 1.1 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 1.1 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.1 supports multimodal inputs, whereas Qwen3.7 Max does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark 1.1
Qwen3.7 Max
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 Max was released on 2026-05-19.
Muse Spark 1.1 is 2 months newer than Qwen3.7 Max.
Jul 9, 2026
1 months ago
1mo newerMay 19, 2026
3 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 Max is available from Novita, Together.
Muse Spark 1.1
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.1 vs Qwen3.7 Max.