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Muse Spark Open vs Qwen3-Next-80B-A3B-Thinking

Muse Spark Open leads the LLM Stats Score 44.9 to 23.6. Qwen3-Next-80B-A3B-Thinking is 4.1x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to 23.6, 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.

On price, Qwen3-Next-80B-A3B-Thinking is roughly 4.1x 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 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 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-Next-80B-A3B-Thinking

  • cost matters — it's about 4.1x cheaper per token

At a glance

The differences that matter most.

Muse Spark Open
Meta
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
44.9
#43
23.6
#193
Reasoning
45.2
#39
24.3
#178
Agents
30.6
#43
12.2
#125
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
$0.15 / M
Output price
$4.25 / M
$1.50 / M
Context window
1,048,576
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Spark Open
Qwen3-Next-80B-A3B-Thinking
Math
31.6#69
26.5#108
Tool use
23.3#44
11.0#134
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Muse Spark Open · 23 for Qwen3-Next-80B-A3B-Thinking

1 shared

Muse Spark Open outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.

Muse Spark Open significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, Muse Spark Open ($1.25/1M tokens) is 8.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Muse Spark Open ($4.25/1M tokens) is 2.8x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Muse Spark Open is more expensive than Qwen3-Next-80B-A3B-Thinking.*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

736.0B diff

Muse Spark Open has 736.0B more parameters than Qwen3-Next-80B-A3B-Thinking, making it 920.0% larger.

Meta
Muse Spark Open
816.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
816.0B
Muse Spark Open
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark Open

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark Open is licensed under Muse Model License, while Qwen3-Next-80B-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-Next-80B-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-Next-80B-A3B-Thinking was released on 2025-09-10.

Muse Spark Open is 13 months newer than Qwen3-Next-80B-A3B-Thinking.

Muse Spark Open

Oct 15, 2026

4 days ago

1.1yr newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 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-Next-80B-A3B-Thinking is available from Novita.

Muse Spark Open

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

Qwen3-Next-80B-A3B-Thinking

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* 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-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Muse Spark Open
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about Muse Spark Open vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Muse Spark Open or Qwen3-Next-80B-A3B-Thinking?

Muse Spark Open leads the LLM Stats Score 44.9 to 23.6. Muse Spark Open is made by Meta and Qwen3-Next-80B-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-Next-80B-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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is Muse Spark Open cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 8.3x cheaper for input tokens. Muse Spark Open costs $1.25/M input and $4.25/M output via together. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Muse Spark Open and Qwen3-Next-80B-A3B-Thinking?

Muse Spark Open supports 1.0M tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (44.9 vs 23.6), context window (1.0M vs 66K), input pricing ($1.25 vs $0.15/M), multimodal support (yes vs no), 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-Next-80B-A3B-Thinking?

Muse Spark Open is developed by Meta and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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