The AI arena is free today

Open Superagent

Muse Spark Open vs Qwen2-VL-72B-Instruct

Muse Spark Open leads the LLM Stats Score 44.9 to 14.0.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 14.0, 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 Qwen2-VL-72B-Instruct

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

At a glance

The differences that matter most.

Muse Spark Open
Meta
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
44.9
#43
14.0
#261
Reasoning
45.2
#39
11.3
#276
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

2 shared
Index
Muse Spark Open
Qwen2-VL-72B-Instruct
Vision
31.2#34
10.5#137
Multimodal
33.1#20
11.4#129
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Muse Spark Open and Qwen2-VL-72B-Instructdon'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 Qwen2-VL-72B-Instruct, making it 1011.7% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
816.0B
Muse Spark Open
73.4B
Qwen2-VL-72B-Instruct

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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Muse Spark Open

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Muse Spark Open

Muse Model License

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Muse Spark Open is 26 months newer than Qwen2-VL-72B-Instruct.

Muse Spark Open

Oct 15, 2026

2 days ago

2.1yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Muse Spark Open's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Muse Spark Open's cutoff date.

Muse Spark Open

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Muse Spark Open vs Qwen2-VL-72B-Instruct.

Which is better, Muse Spark Open or Qwen2-VL-72B-Instruct?

Muse Spark Open leads the LLM Stats Score 44.9 to 14.0. Muse Spark Open is made by Meta and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct 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%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Muse Spark Open and Qwen2-VL-72B-Instruct?

Muse Spark Open supports 1.0M tokens and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (44.9 vs 14.0), licensing (Muse Model License vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and Qwen2-VL-72B-Instruct?

Muse Spark Open is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons