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Muse Spark 1.3 vs Qwen2.5 VL 7B Instruct

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 6.9.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 6.9, 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 and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2.5 VL 7B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.4
#5
6.9
#280
Reasoning
53.0
#6
3.5
#287
Agents
40.6
#4
-2.8
#166
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Muse Spark 1.3
Qwen2.5 VL 7B Instruct
Long context
31.7#1
0.6#106
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.3 · 32 for Qwen2.5 VL 7B Instruct

No common benchmarks found

Muse Spark 1.3 and Qwen2.5 VL 7B 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

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).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and Qwen2.5 VL 7B Instruct support multimodal inputs.

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

Muse Spark 1.3

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.3 is licensed under a proprietary license, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

Muse Spark 1.3

Proprietary

Closed source

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Muse Spark 1.3 is 19 months newer than Qwen2.5 VL 7B Instruct.

Muse Spark 1.3

Sep 2, 2026

0 days ago

1.6yr newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Qwen2.5 VL 7B Instruct.

Which is better, Muse Spark 1.3 or Qwen2.5 VL 7B Instruct?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 6.9. Muse Spark 1.3 is made by Meta and Qwen2.5 VL 7B 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 1.3 compare to Qwen2.5 VL 7B Instruct in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Muse Spark 1.3 and Qwen2.5 VL 7B Instruct?

Muse Spark 1.3 supports 1.0M tokens and Qwen2.5 VL 7B 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 1.3 and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (55.4 vs 6.9), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Qwen2.5 VL 7B Instruct?

Muse Spark 1.3 is developed by Meta and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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