Ember-1 vs Muse Spark 1.1
Ember-1 and Muse Spark 1.1 are closely matched at 43.6 and 48.7 on the LLM Stats Score. Muse Spark 1.1 is 3.0x cheaper per token.
Fireworks AI · Meta · Updated for 2026
Which is better?
Ember-1 and Muse Spark 1.1 are closely matched on the overall LLM Stats Score at 43.6 and 48.7.
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 1.1 is roughly 3.0x 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 Ember-1
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Muse Spark 1.1
- cost matters — it's about 3.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
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 · 11 for Muse Spark 1.1
Ember-1 outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while Muse Spark 1.1 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 1.1 ($1.25/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 3.5x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Ember-1 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 Ember-1's 1,040,000 tokens. Only Muse Spark 1.1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Muse Spark 1.1 supports multimodal inputs, whereas Ember-1 does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Muse Spark 1.1
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 Spark 1.1 was released on 2026-07-09.
Ember-1 is 3 months newer than Muse Spark 1.1.
Sep 23, 2026
2 weeks ago
2mo newerJul 9, 2026
3 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
Ember-1 is available from Fireworks. Muse Spark 1.1 is available from Meta Model API.
Ember-1
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Muse Spark 1.1.