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Muse Spark Open vs Qwen2.5 VL 72B Instruct

Muse Spark Open leads the LLM Stats Score 45.3 to 12.2.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 12.2, ranking #42 overall.

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

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5 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
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.3
#42
12.2
#276
Reasoning
45.7
#35
12.3
#267
Agents
30.8
#43
4.5
#176
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
Qwen2.5 VL 72B Instruct
Math
33.3#58
7.6#276
Vision
31.3#33
9.1#148
Multimodal
33.1#20
11.9#125
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 30 for Qwen2.5 VL 72B Instruct

No common benchmarks found

Muse Spark Open and Qwen2.5 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

744.0B diff

Muse Spark Open has 744.0B more parameters than Qwen2.5 VL 72B Instruct, making it 1033.3% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
816.0B
Muse Spark Open
72.0B
Qwen2.5 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
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and Qwen2.5 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

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Qwen2.5 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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Muse Spark Open is 21 months newer than Qwen2.5 VL 72B Instruct.

Muse Spark Open

Oct 15, 2026

4 days ago

1.7yr newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about Muse Spark Open vs Qwen2.5 VL 72B Instruct.

Which is better, Muse Spark Open or Qwen2.5 VL 72B Instruct?

Muse Spark Open leads the LLM Stats Score 45.3 to 12.2. Muse Spark Open is made by Meta and Qwen2.5 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 Qwen2.5 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%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Muse Spark Open and Qwen2.5 VL 72B Instruct?

Muse Spark Open supports 1.0M tokens and Qwen2.5 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 Qwen2.5 VL 72B Instruct?

Key differences include LLM Stats Score (45.3 vs 12.2), licensing (Muse Model License vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and Qwen2.5 VL 72B Instruct?

Muse Spark Open is developed by Meta and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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