Muse Spark 1.3 vs Qwen3-Coder
Comparing Muse Spark 1.3 and Qwen3-Coder across benchmarks, pricing, and capabilities.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.3 and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Muse Spark 1.3 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 1.3
- cost matters — it's about 1.4x 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 Sep 2026
Choose Qwen3-Coder
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.3 · 0 for Qwen3-Coder
Muse Spark 1.3 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 1.3 ($0.10/1M tokens) is 1.8x cheaper than Qwen3-Coder ($0.18/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 1.1x more expensive than Qwen3-Coder ($0.18/1M tokens).
In conclusion, Qwen3-Coder is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Qwen3-Coder's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Qwen3-Coder is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Qwen3-Coder does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark 1.3
Qwen3-Coder
License
Usage and distribution terms
Muse Spark 1.3 is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while Qwen3-Coder was released on 2025-01-01.
Muse Spark 1.3 is 20 months newer than Qwen3-Coder.
Sep 2, 2026
2 days ago
1.7yr newerJan 1, 2025
1.7 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 1.3 is available from Meta Model API. Qwen3-Coder is available from DeepInfra, Fireworks.
Muse Spark 1.3
Qwen3-Coder
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Qwen3-Coder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Qwen3-Coder.