Muse Spark 1.3 vs Qwen3-Coder 480B A35B Instruct
Muse Spark 1.3 leads the LLM Stats Score 52.2 to 20.6. Qwen3-Coder 480B A35B Instruct is 4.2x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 52.2 to 20.6, ranking #13 overall.
On price, Qwen3-Coder 480B A35B Instruct is roughly 4.2x 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
- overall performance matters — it scores 52.2 and ranks #13 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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 480B A35B Instruct
- cost matters — it's about 4.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Muse Spark 1.3 · 10 for Qwen3-Coder 480B A35B Instruct
Muse Spark 1.3 and Qwen3-Coder 480B A35B Instructdon'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 ($1.25/1M tokens) is 4.2x more expensive than Qwen3-Coder 480B A35B Instruct ($0.30/1M tokens).
For output processing, Muse Spark 1.3 ($4.25/1M tokens) is 4.3x more expensive than Qwen3-Coder 480B A35B Instruct ($1.00/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than Qwen3-Coder 480B A35B Instruct.*
* 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 480B A35B Instruct's 262,144 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Qwen3-Coder 480B A35B Instruct is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct 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 480B A35B Instruct
License
Usage and distribution terms
Muse Spark 1.3 is licensed under a proprietary license, while Qwen3-Coder 480B A35B 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 1.3 was released on 2026-09-02, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
Muse Spark 1.3 is 19 months newer than Qwen3-Coder 480B A35B Instruct.
Sep 2, 2026
1 months ago
1.6yr newerJan 31, 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 480B A35B Instruct is available from DeepInfra.
Muse Spark 1.3
Qwen3-Coder 480B A35B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Qwen3-Coder 480B A35B Instruct.
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