Ember-1 vs Muse Wonder
Ember-1 and Muse Wonder are closely matched at 42.7 and 47.9 on the LLM Stats Score. Ember-1 is 1.3x cheaper per token.
Fireworks AI · Meta · Updated for 2026
Which is better?
Ember-1 and Muse Wonder are closely matched on the overall LLM Stats Score at 42.7 and 47.9.
In the 1 individual benchmarks reported for both models, Muse Wonder wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ember-1 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder 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 Ember-1
- cost matters — it's about 1.3x cheaper per token
Choose Muse Wonder
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 16 for Muse Wonder
Ember-1 outperforms in 0 benchmarks, while Muse Wonder is better at 1 benchmark (DeepSWE 1.1).
Muse Wonder significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ember-1 ($3.00/1M tokens) is 1.3x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 1.3x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than Ember-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Wonder accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas Ember-1 does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Muse Wonder
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
Ember-1 was released on 2026-09-23, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 1 month newer than Ember-1.
Sep 23, 2026
2 weeks ago
Oct 12, 2026
-1 days ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ember-1 is available from Fireworks. Muse Wonder is available from Meta Model API.
Ember-1
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Muse Wonder.