Muse Spark Open vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 50.7 to 45.3. Muse Spark Open is 1.2x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 50.7 to 45.3, ranking #17 overall.
In the 5 individual benchmarks reported for both models, Qwen3.8 Max wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 Open
- cost matters — it's about 1.2x 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 Oct 2026
Choose Qwen3.8 Max
- overall performance matters — it scores 50.7 and ranks #17 on LLM Stats
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Muse Spark Open · 42 for Qwen3.8 Max
Muse Spark Open outperforms in 2 benchmarks (DeepSWE 1.1, Job Bench), while Qwen3.8 Max is better at 3 benchmarks (GPQA, OSWorld-Verified, 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 Open ($1.25/1M tokens) is 1.3x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Muse Spark Open ($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 Open.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.8 Max has 1584.0B more parameters than Muse Spark Open, making it 194.1% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Qwen3.8 Max's 256,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Qwen3.8 Max is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Muse Spark Open and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Spark Open
Qwen3.8 Max
License
Usage and distribution terms
Muse Spark Open is licensed under Muse Model 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.
Muse Model License
Open weights
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Muse Spark Open was released on 2026-10-15, while Qwen3.8 Max was released on 2026-08-02.
Muse Spark Open is 2 months newer than Qwen3.8 Max.
Oct 15, 2026
1 weeks ago
2mo newerAug 2, 2026
2 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 Open is available from Together. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Muse Spark Open
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Spark Open and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Spark Open vs Qwen3.8 Max.