Muse Spark Open vs Qwen3-Coder
Comparing Muse Spark Open and Qwen3-Coder across benchmarks, pricing, and capabilities.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark Open and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3-Coder is roughly 11.1x 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
- 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-Coder
- cost matters — it's about 11.1x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
17 reported for Muse Spark Open · 0 for Qwen3-Coder
Muse Spark Open and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 6.9x more expensive than Qwen3-Coder ($0.18/1M tokens).
For output processing, Muse Spark Open ($4.25/1M tokens) is 23.6x more expensive than Qwen3-Coder ($0.18/1M tokens).
In conclusion, Muse Spark Open is more expensive than Qwen3-Coder.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 336.0B more parameters than Qwen3-Coder, making it 70.0% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3-Coder's 256,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3-Coder is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Qwen3-Coder 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-Coder
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model License, while Qwen3-Coder uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Muse Model License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Qwen3-Coder was released on 2025-01-01.
Muse Spark Open is 22 months newer than Qwen3-Coder.
Oct 15, 2026
4 days ago
1.8yr newerJan 1, 2025
1.8 years 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-Coder is available from DeepInfra, Fireworks.
Muse Spark Open
Qwen3-Coder
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Qwen3-Coder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Qwen3-Coder.