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Muse Spark vs Qwen3.7-Plus

Muse Spark and Qwen3.7-Plus are closely matched at 41.7 and 42.6 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 41.7 and 42.6.

In the 10 individual benchmarks reported for both models, Qwen3.7-Plus wins 6; this is a narrower head-to-head signal than the composite indexes.

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

Choose Muse Spark

  • you are already invested in the Meta ecosystem

Choose Qwen3.7-Plus

  • you value its reported benchmark strengths — it wins 6 of 10 exact shared results
  • you want the most recent training data — it shipped May 2026

At a glance

The differences that matter most.

Muse Spark
Meta
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
41.7
#53
42.6
#49
Reasoning
40.6
#53
43.0
#43
Coding
23.1
#79
30.7
#52
Agents
14.3
#93
24.3
#55
Cost, coverage & limits
Benchmark wins
4 of 10
6 of 10
Input price
— / M
$0.32 / M
Output price
— / M
$1.28 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark
Qwen3.7-Plus
Vision
31.2#26
32.2#22
Tool use
16.2#82
22.3#44
Multimodal
32.4#21
35.1#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Muse Spark · 70 for Qwen3.7-Plus

10 shared

Muse Spark outperforms in 4 benchmarks (CharXiv-R, Humanity's Last Exam, MMMU-Pro, ScreenSpot Pro), while Qwen3.7-Plus is better at 6 benchmarks (ERQA, GPQA, SimpleVQA, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).

Qwen3.7-Plus has a slight edge in benchmark performance.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3.7-Plus specifies input context (1,000,000 tokens). Only Qwen3.7-Plus specifies output context (65,536 tokens).

Meta
Muse Spark
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark and Qwen3.7-Plus support multimodal inputs.

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

Muse Spark

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Spark

Proprietary

Closed source

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark was released on 2026-04-08, while Qwen3.7-Plus was released on 2026-05-31.

Qwen3.7-Plus is 2 months newer than Muse Spark.

Muse Spark

Apr 8, 2026

5 months ago

Qwen3.7-Plus

May 31, 2026

3 months ago

1mo newer

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 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Muse Spark
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Muse Spark vs Qwen3.7-Plus.

Which is better, Muse Spark or Qwen3.7-Plus?

Muse Spark and Qwen3.7-Plus are closely matched on the LLM Stats Score at 41.7 and 42.6. Muse Spark is made by Meta and Qwen3.7-Plus 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 compare to Qwen3.7-Plus in benchmarks?

Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

What are the context window sizes for Muse Spark and Qwen3.7-Plus?

Muse Spark supports an unknown number of tokens and Qwen3.7-Plus supports 1.0M 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 and Qwen3.7-Plus?

Key differences include LLM Stats Score (41.7 vs 42.6). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark and Qwen3.7-Plus?

Muse Spark is developed by Meta and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.

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