Muse Spark 1.3 vs QvQ-72B-Preview
Muse Spark 1.3 leads the LLM Stats Score 55.4 to 8.1.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 8.1, ranking #5 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark 1.3
- overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose QvQ-72B-Preview
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.3 · 4 for QvQ-72B-Preview
Muse Spark 1.3 and QvQ-72B-Previewdon'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
Context Window
Maximum input and output token capacity
Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.3 and QvQ-72B-Preview support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.3
QvQ-72B-Preview
License
Usage and distribution terms
Muse Spark 1.3 is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while QvQ-72B-Preview was released on 2024-12-25.
Muse Spark 1.3 is 21 months newer than QvQ-72B-Preview.
Sep 2, 2026
0 days ago
1.7yr newerDec 25, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs QvQ-72B-Preview.