Muse Spark 1.2 vs Qwen3.7 Max
Muse Spark 1.2 and Qwen3.7 Max are closely matched at 41.1 and 46.0 on the LLM Stats Score. Muse Spark 1.2 is 15.0x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.2 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 41.1 and 46.0.
On price, Muse Spark 1.2 is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.2 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 1.2
- cost matters — it's about 15.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3.7 Max
- you want predictable pricing at $1.25/M input and $3.75/M output
At a glance
The differences that matter most.
Individual benchmarks
3 reported for Muse Spark 1.2 · 42 for Qwen3.7 Max
Muse Spark 1.2 and Qwen3.7 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.2 ($0.10/1M tokens) is 12.5x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Muse Spark 1.2 ($0.20/1M tokens) is 18.8x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Muse Spark 1.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.2 accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Muse Spark 1.2 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 1.2 supports multimodal inputs, whereas Qwen3.7 Max does not.
Muse Spark 1.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark 1.2
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 1.2 was released on 2026-08-05, while Qwen3.7 Max was released on 2026-05-19.
Muse Spark 1.2 is 3 months newer than Qwen3.7 Max.
Aug 5, 2026
3 weeks ago
2mo 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 1.2 is available from Meta Model API. Qwen3.7 Max is available from Novita, Together.
Muse Spark 1.2
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.2 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.2 vs Qwen3.7 Max.