Muse Spark 1.3 vs Qwen3 235B A22B
Muse Spark 1.3 leads the LLM Stats Score 55.3 to 15.7. Qwen3 235B A22B is 1.3x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 15.7, ranking #5 overall.
On price, Qwen3 235B A22B is roughly 1.3x 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 55.3 and ranks #5 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 235B A22B
- cost matters — it's about 1.3x cheaper per token
- 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 · 23 for Qwen3 235B A22B
Muse Spark 1.3 and Qwen3 235B A22Bdon'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) costs the same as Qwen3 235B A22B ($0.10/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 2.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than Qwen3 235B A22B.*
* 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 235B A22B's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Qwen3 235B A22B 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 235B A22B
License
Usage and distribution terms
Muse Spark 1.3 is licensed under a proprietary license, while Qwen3 235B A22B 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 235B A22B was released on 2025-04-29.
Muse Spark 1.3 is 16 months newer than Qwen3 235B A22B.
Sep 2, 2026
2 days ago
1.3yr newerApr 29, 2025
1.4 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 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
Muse Spark 1.3
Qwen3 235B A22B
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Qwen3 235B A22B.