Muse Spark Open vs Qwen3 Max Thinking
Muse Spark Open leads the LLM Stats Score 45.3 to 32.6. Muse Spark Open is 1.2x 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 32.6, 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, Muse Spark Open is roughly 1.2x 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 coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3 Max Thinking
- you want predictable pricing at $1.20/M input and $6.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 34 for Qwen3 Max Thinking
Muse Spark Open outperforms in 1 benchmarks (GPQA), while Qwen3 Max Thinking is better at 0 benchmarks.
Muse Spark Open significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark Open ($1.25/1M tokens) is 1.0x more expensive than Qwen3 Max Thinking ($1.20/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 1.4x cheaper than Qwen3 Max Thinking ($6.00/1M tokens).
In conclusion, Qwen3 Max Thinking is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max Thinking has 184.0B more parameters than Muse Spark Open, making it 22.5% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3 Max Thinking's 256,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3 Max Thinking is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Qwen3 Max 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
Qwen3 Max Thinking
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Qwen3 Max Thinking uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Qwen3 Max Thinking was released on 2026-02-13.
Muse Spark Open is 8 months newer than Qwen3 Max Thinking.
Oct 15, 2026
5 days ago
8mo newerFeb 13, 2026
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Spark Open is available from Together. Qwen3 Max Thinking is available from DeepInfra.
Muse Spark Open
Qwen3 Max Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Qwen3 Max Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Qwen3 Max Thinking.