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Muse Spark Open vs Qwen3 VL 30B A3B Thinking

Muse Spark Open leads the LLM Stats Score 45.3 to 17.8. Qwen3 VL 30B A3B Thinking is 5.0x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 17.8, ranking #42 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.

On price, Qwen3 VL 30B A3B Thinking is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark Open also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 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 process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 VL 30B A3B Thinking

  • cost matters — it's about 5.0x cheaper per token

At a glance

The differences that matter most.

Muse Spark Open
Meta
Qwen3 VL 30B A3B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.3
#42
17.8
#239
Reasoning
45.7
#35
19.1
#225
Agents
30.8
#43
7.0
#160
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
$0.20 / M
Output price
$4.25 / M
$0.99 / M
Context window
1,048,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark Open
Qwen3 VL 30B A3B Thinking
Math
33.3#58
22.3#149
Vision
31.3#33
12.1#123
Multimodal
33.1#20
14.8#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 50 for Qwen3 VL 30B A3B Thinking

1 shared

Muse Spark Open outperforms in 1 benchmarks (GPQA), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.

Muse Spark Open significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Thinking costs less

For input processing, Muse Spark Open ($1.25/1M tokens) is 6.3x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, Muse Spark Open ($4.25/1M tokens) is 4.3x more expensive than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

In conclusion, Muse Spark Open is more expensive than Qwen3 VL 30B A3B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input tokens$0.20
Output tokens$0.99
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

785.0B diff

Muse Spark Open has 785.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 2532.3% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
816.0B
Muse Spark Open
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark Open and Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark Open was released on 2026-10-15, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Muse Spark Open is 13 months newer than Qwen3 VL 30B A3B Thinking.

Muse Spark Open

Oct 15, 2026

4 days ago

1.1yr newer
Qwen3 VL 30B A3B Thinking

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

Provider Availability

Muse Spark Open is available from Together. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

Muse Spark Open

together logo
Together
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Qwen3 VL 30B A3B Thinking

novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Spark Open and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Muse Spark Open vs Qwen3 VL 30B A3B Thinking.

Which is better, Muse Spark Open or Qwen3 VL 30B A3B Thinking?

Muse Spark Open leads the LLM Stats Score 45.3 to 17.8. Muse Spark Open is made by Meta and Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking 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 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is Muse Spark Open cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 6.3x cheaper for input tokens. Muse Spark Open costs $1.25/M input and $4.25/M output via together. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

What are the context window sizes for Muse Spark Open and Qwen3 VL 30B A3B Thinking?

Muse Spark Open supports 1.0M tokens and Qwen3 VL 30B A3B Thinking supports 131K 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 30B A3B Thinking?

Key differences include LLM Stats Score (45.3 vs 17.8), context window (1.0M vs 131K), input pricing ($1.25 vs $0.20/M), 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 30B A3B Thinking?

Muse Spark Open is developed by Meta and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

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