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Muse Spark 1.3 vs QwQ-32B

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 15.0.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 15.0, 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 coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose QwQ-32B

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

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
QwQ-32B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.4
#5
15.0
#219
Reasoning
53.0
#6
15.8
#210
Coding
41.6
#9
10.4
#155
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 · 7 for QwQ-32B

No common benchmarks found

Muse Spark 1.3 and QwQ-32Bdon'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
QwQ-32B
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas QwQ-32B does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark 1.3

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.3 is licensed under a proprietary license, while QwQ-32B 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

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while QwQ-32B was released on 2025-03-05.

Muse Spark 1.3 is 18 months newer than QwQ-32B.

Muse Spark 1.3

Sep 2, 2026

0 days ago

1.5yr newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Muse Spark 1.3's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.

Muse Spark 1.3

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and QwQ-32B side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs QwQ-32B.

Which is better, Muse Spark 1.3 or QwQ-32B?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 15.0. Muse Spark 1.3 is made by Meta and QwQ-32B 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 QwQ-32B 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%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Muse Spark 1.3 and QwQ-32B?

Muse Spark 1.3 supports 1.0M tokens and QwQ-32B 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 QwQ-32B?

Key differences include LLM Stats Score (55.4 vs 15.0), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and QwQ-32B?

Muse Spark 1.3 is developed by Meta and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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