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Muse Spark 1.3 vs Qwen3 VL 32B Thinking

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 23.5.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 23.5, 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 55.3 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 Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.3
#5
23.5
#166
Reasoning
52.8
#7
24.7
#145
Agents
40.4
#4
13.4
#87
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for Muse Spark 1.3 · 47 for Qwen3 VL 32B Thinking

No common benchmarks found

Muse Spark 1.3 and Qwen3 VL 32B Thinkingdon'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
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.3 is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Muse Spark 1.3 is 12 months newer than Qwen3 VL 32B Thinking.

Muse Spark 1.3

Sep 2, 2026

3 days ago

11mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

11 months 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 Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Qwen3 VL 32B Thinking.

Which is better, Muse Spark 1.3 or Qwen3 VL 32B Thinking?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 23.5. Muse Spark 1.3 is made by Meta and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking 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%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Muse Spark 1.3 and Qwen3 VL 32B Thinking?

Muse Spark 1.3 supports 1.0M tokens and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (55.3 vs 23.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Qwen3 VL 32B Thinking?

Muse Spark 1.3 is developed by Meta and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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