Muse Ember vs Qwen3 Max
Muse Ember leads the LLM Stats Score 45.9 to 21.0. Muse Ember is 8.1x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to 21.0, ranking #47 overall.
On price, Muse Ember is roughly 8.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Ember 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 Ember
- overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 8.1x 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 Nov 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
6 reported for Muse Ember · 6 for Qwen3 Max
Muse Ember 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 Ember ($0.10/1M tokens) is 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, Muse Ember ($0.50/1M tokens) is 10.0x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than Muse Ember.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Ember accepts 1,048,576 input tokens compared to Qwen3 Max's 256,000 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Qwen3 Max is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Ember supports multimodal inputs, whereas Qwen3 Max does not.
Muse Ember can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Ember
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 Ember was released on 2026-11-09, while Qwen3 Max was released on 2025-12-15.
Muse Ember is 11 months newer than Qwen3 Max.
Nov 9, 2026
3 days ago
10mo newerDec 15, 2025
11 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 Ember is available from Meta Model API. Qwen3 Max is available from Novita, DeepInfra.
Muse Ember
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Ember and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Ember vs Qwen3 Max.