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Muse Spark Open vs Qwen3 VL 32B Instruct

Muse Spark Open leads the LLM Stats Score 44.9 to 20.0.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 20.0, ranking #43 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; 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 Open

  • overall performance matters — it scores 44.9 and ranks #43 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 32B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Muse Spark Open
Meta
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
44.9
#43
20.0
#219
Reasoning
45.2
#39
18.9
#225
Agents
30.6
#43
9.5
#143
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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 Open
Qwen3 VL 32B Instruct
Math
31.6#69
19.5#176
Vision
31.2#34
14.8#108
Multimodal
33.1#20
17.2#95
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 45 for Qwen3 VL 32B Instruct

1 shared

Muse Spark Open outperforms in 1 benchmarks (GPQA), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

Muse Spark Open significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

783.0B diff

Muse Spark Open has 783.0B more parameters than Qwen3 VL 32B Instruct, making it 2372.7% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
816.0B
Muse Spark Open
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and Qwen3 VL 32B Instruct support multimodal inputs.

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

Muse Spark Open

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Qwen3 VL 32B Instruct uses Apache 2.0.

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

Muse Spark Open

Muse Model License

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Muse Spark Open is 13 months newer than Qwen3 VL 32B Instruct.

Muse Spark Open

Oct 15, 2026

4 days ago

1.1yr newer
Qwen3 VL 32B Instruct

Sep 22, 2025

1.1 years 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?

Judge for yourself.

Run your own prompts against Muse Spark Open and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Muse Spark Open vs Qwen3 VL 32B Instruct.

Which is better, Muse Spark Open or Qwen3 VL 32B Instruct?

Muse Spark Open leads the LLM Stats Score 44.9 to 20.0. Muse Spark Open is made by Meta and Qwen3 VL 32B Instruct 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 Open compare to Qwen3 VL 32B Instruct in benchmarks?

Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Muse Spark Open and Qwen3 VL 32B Instruct?

Muse Spark Open supports 1.0M tokens and Qwen3 VL 32B Instruct 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 Open and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (44.9 vs 20.0), licensing (Muse Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark Open and Qwen3 VL 32B Instruct?

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

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