Muse Spark 1.3 vs Qwen3 Max
Muse Spark 1.3 leads the LLM Stats Score 54.4 to 21.7. Muse Spark 1.3 is 13.0x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to 21.7, ranking #6 overall.
On price, Muse Spark 1.3 is roughly 13.0x 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 54.4 and ranks #6 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 13.0x 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 Max
- you want predictable pricing at $0.50/M input and $5.00/M output
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Muse Spark 1.3 · 6 for Qwen3 Max
Muse Spark 1.3 and Qwen3 Maxdon'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 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, Muse Spark 1.3 ($0.20/1M tokens) is 25.0x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max 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 Max's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Qwen3 Max is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Qwen3 Max 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 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Spark 1.3 was released on 2026-09-02, while Qwen3 Max was released on 2025-12-15.
Muse Spark 1.3 is 9 months newer than Qwen3 Max.
Sep 2, 2026
1 weeks ago
8mo newerDec 15, 2025
8 months 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 Max is available from Novita, DeepInfra.
Muse Spark 1.3
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.3 and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.3 vs Qwen3 Max.