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Muse Spark 1.1 vs Qwen3.8-Flash-Next

Muse Spark 1.1 and Qwen3.8-Flash-Next are closely matched at 49.7 and 49.1 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark 1.1 and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 49.7 and 49.1.

In the 6 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 4; 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 1.1

  • you want predictable pricing at $1.25/M input and $4.25/M output

Choose Qwen3.8-Flash-Next

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Spark 1.1
Meta
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
49.7
#19
49.1
#20
Reasoning
50.1
#14
48.9
#19
Coding
34.9
#31
36.1
#23
Agents
34.8
#22
35.1
#20
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark 1.1
Qwen3.8-Flash-Next
Vision
35.1#11
34.1#14
Tool use
31.7#9
31.1#11
Multimodal
34.0#15
36.1#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.1 · 22 for Qwen3.8-Flash-Next

6 shared

Muse Spark 1.1 outperforms in 2 benchmarks (Humanity's Last Exam, Toolathlon), while Qwen3.8-Flash-Next is better at 4 benchmarks (CharXiv-R, DeepSWE 1.1, Job Bench, SWE-Bench Pro).

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Thu Sep 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.1 and Qwen3.8-Flash-Next support multimodal inputs.

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

Muse Spark 1.1

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Muse Spark 1.1

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 2 months newer than Muse Spark 1.1.

Muse Spark 1.1

Jul 9, 2026

2 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks 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 1.1 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Muse Spark 1.1 vs Qwen3.8-Flash-Next.

Which is better, Muse Spark 1.1 or Qwen3.8-Flash-Next?

Muse Spark 1.1 and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 49.7 and 49.1. Muse Spark 1.1 is made by Meta and Qwen3.8-Flash-Next 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 1.1 compare to Qwen3.8-Flash-Next in benchmarks?

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%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Muse Spark 1.1 and Qwen3.8-Flash-Next?

Muse Spark 1.1 supports 1.0M tokens and Qwen3.8-Flash-Next 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 1.1 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (49.7 vs 49.1), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.1 and Qwen3.8-Flash-Next?

Muse Spark 1.1 is developed by Meta and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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