Ember-1 vs Muse Spark Open
Ember-1 and Muse Spark Open are closely matched at 42.3 and 45.3 on the LLM Stats Score. Muse Spark Open is 3.0x cheaper per token.
Fireworks AI · Meta · Updated for 2026
Which is better?
Ember-1 and Muse Spark Open are closely matched on the overall LLM Stats Score at 42.3 and 45.3.
In the 2 individual benchmarks reported for both models, Ember-1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 3.0x 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 Ember-1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Muse Spark Open
- cost matters — it's about 3.0x 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 Oct 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
4 reported for Ember-1 · 17 for Muse Spark Open
Ember-1 outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while Muse Spark Open is better at 0 benchmarks.
Ember-1 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 2.4x more expensive than Muse Spark Open ($1.25/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 3.5x more expensive than Muse Spark Open ($4.25/1M tokens).
In conclusion, Ember-1 is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 1964.0B more parameters than Muse Spark Open, making it 240.7% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only Muse Spark Open specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Ember-1 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Muse Spark Open
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 1 month newer than Ember-1.
Sep 23, 2026
3 weeks ago
Oct 15, 2026
5 days 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
Ember-1 is available from Fireworks. Muse Spark Open is available from Together.
Ember-1
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Muse Spark Open.