Model Comparison

Qwen3.6-27B vs Muse Spark 1.1Which is better in 2026?

Muse Spark 1.1 significantly outperforms across most benchmarks.

Verdict: Qwen3.6-27B vs Muse Spark 1.1 — which is better?

Qwen3.6-27B (by Alibaba Cloud / Qwen Team) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3.6-27B outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, SWE-Bench Pro). Muse Spark 1.1 significantly outperforms across most benchmarks.

Choose Qwen3.6-27B if…

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

Choose Muse Spark 1.1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.6-27B outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, SWE-Bench Pro).

Muse Spark 1.1 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3.6-27B specifies input context (262,144 tokens). Only Qwen3.6-27B specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input262,144 tokens
Output65,536 tokens
Meta
Muse Spark 1.1
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.6-27B and Muse Spark 1.1 support multimodal inputs.

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

Qwen3.6-27B

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.6-27B is licensed under Apache 2.0, while Muse Spark 1.1 uses a proprietary license.

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

Qwen3.6-27B

Apache 2.0

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.6-27B was released on 2026-04-21, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 3 months newer than Qwen3.6-27B.

Qwen3.6-27B

Apr 21, 2026

2 months ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

2mo 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

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.6-27B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Has open weights
Higher CharXiv-R score (88.4% vs 78.4%)
Higher Humanity's Last Exam score (62.1% vs 24.0%)
Higher SWE-Bench Pro score (61.5% vs 53.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-27B and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Qwen3.6-27B
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Meta
Muse Spark 1.1

FAQ

Common questions about Qwen3.6-27B vs Muse Spark 1.1.

Which is better, Qwen3.6-27B or Muse Spark 1.1?

Muse Spark 1.1 significantly outperforms across most benchmarks. Qwen3.6-27B is made by Alibaba Cloud / Qwen Team and Muse Spark 1.1 is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.6-27B compare to Muse Spark 1.1 in benchmarks?

Qwen3.6-27B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, V*: 94.7%, AIME 2026: 94.1%, HMMT 2025: 93.8%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

What are the context window sizes for Qwen3.6-27B and Muse Spark 1.1?

Qwen3.6-27B supports 262K tokens and Muse Spark 1.1 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 Qwen3.6-27B and Muse Spark 1.1?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.6-27B and Muse Spark 1.1?

Qwen3.6-27B is developed by Alibaba Cloud / Qwen Team and Muse Spark 1.1 is developed by Meta.