Model Comparison
Muse Spark 1.1 vs Qwen2.5-Coder 32B InstructWhich is better in 2026?
Comparing Muse Spark 1.1 and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.
Verdict: Muse Spark 1.1 vs Qwen2.5-Coder 32B Instruct — which is better?
Muse Spark 1.1 (by Meta) and Qwen2.5-Coder 32B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Qwen2.5-Coder 32B Instruct is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Muse Spark 1.1 if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen2.5-Coder 32B Instruct if…
- cost matters — it's about 22.2x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Muse Spark 1.1 and Qwen2.5-Coder 32B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 13.9x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 47.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Muse Spark 1.1 is more expensive than Qwen2.5-Coder 32B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Muse Spark 1.1 supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark 1.1
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Muse Spark 1.1 is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct 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 1.1 was released on 2026-07-09, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Muse Spark 1.1 is 22 months newer than Qwen2.5-Coder 32B Instruct.
Jul 9, 2026
1 weeks ago
1.8yr newerSep 19, 2024
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 1.1 is available from Meta Model API. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Muse Spark 1.1
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Key Takeaways
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Muse Spark 1.1 vs Qwen2.5-Coder 32B Instruct.