Muse Spark 1.1 vs Qwen3.8 Max
Muse Spark 1.1 and Qwen3.8 Max are closely matched at 49.7 and 52.0 on the LLM Stats Score. Muse Spark 1.1 is 1.2x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Spark 1.1 and Qwen3.8 Max are closely matched on the overall LLM Stats Score at 49.7 and 52.0.
In the 7 individual benchmarks reported for both models, Qwen3.8 Max wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.1 is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Spark 1.1
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Qwen3.8 Max
- you value its reported benchmark strengths — it wins 4 of 7 exact shared results
- you want the most recent training data — it shipped Aug 2026
- 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 1.1 · 42 for Qwen3.8 Max
Muse Spark 1.1 outperforms in 3 benchmarks (Humanity's Last Exam, Job Bench, Toolathlon), while Qwen3.8 Max is better at 4 benchmarks (DeepSWE 1.1, OSWorld-Verified, SWE-Bench Pro, Terminal-Bench 2.1).
Qwen3.8 Max has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 1.3x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 1.2x cheaper than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Qwen3.8 Max is more expensive than Muse Spark 1.1.*
* 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 Qwen3.8 Max's 256,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark 1.1 and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark 1.1
Qwen3.8 Max
License
Usage and distribution terms
Muse Spark 1.1 is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Muse Spark 1.1 was released on 2026-07-09, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 1 month newer than Muse Spark 1.1.
Jul 9, 2026
2 months ago
Aug 2, 2026
1 months ago
3w newerKnowledge 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. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Muse Spark 1.1
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark 1.1 and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark 1.1 vs Qwen3.8 Max.