Muse Ember vs o1
Muse Ember leads the LLM Stats Score 45.9 to 20.3. Muse Ember is 131.3x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to 20.3, ranking #47 overall.
On price, Muse Ember is roughly 131.3x 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 131.3x 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 o1
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Muse Ember · 19 for o1
Muse Ember and o1don'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 150.0x cheaper than o1 ($15.00/1M tokens).
For output processing, Muse Ember ($0.50/1M tokens) is 120.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 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 o1's 200,000 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while o1 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Ember supports multimodal inputs, whereas o1 does not.
Muse Ember can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Ember
o1
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 o1 was released on 2024-12-17.
Muse Ember is 23 months newer than o1.
Nov 9, 2026
3 days ago
1.9yr newerDec 17, 2024
1.9 years 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. o1 is available from Azure, OpenAI.
Muse Ember
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Ember and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Ember vs o1.