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Muse Spark Open vs QvQ-72B-Preview

Muse Spark Open leads the LLM Stats Score 44.9 to 7.6.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 7.6, ranking #43 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose QvQ-72B-Preview

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.9
#43
7.6
#306
45.2
#39
8.0
#298
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark Open
QvQ-72B-Preview
31.6#69
9.5#265
31.2#34
6.2#166
33.1#20
9.4#137
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 4 for QvQ-72B-Preview

No common benchmarks found

Muse Spark Open 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

Model Size

Parameter count comparison

742.6B diff

Muse Spark Open has 742.6B more parameters than QvQ-72B-Preview, making it 1011.7% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
816.0B
Muse Spark Open
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and QvQ-72B-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Spark Open

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while QvQ-72B-Preview uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark Open

Muse Model License

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while QvQ-72B-Preview was released on 2024-12-25.

Muse Spark Open is 22 months newer than QvQ-72B-Preview.

Muse Spark Open

Oct 15, 2026

2 days ago

1.8yr newer
QvQ-72B-Preview

Dec 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Muse Spark Open vs QvQ-72B-Preview.

Which is better, Muse Spark Open or QvQ-72B-Preview?

Muse Spark Open leads the LLM Stats Score 44.9 to 7.6. Muse Spark Open is made by Meta and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark Open compare to QvQ-72B-Preview in benchmarks?

Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Muse Spark Open and QvQ-72B-Preview?

Muse Spark Open supports 1.0M tokens and QvQ-72B-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark Open and QvQ-72B-Preview?

Key differences include LLM Stats Score (44.9 vs 7.6), licensing (Muse Model License vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and QvQ-72B-Preview?

Muse Spark Open is developed by Meta and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.