Ember-1 vs o1-preview
Ember-1 leads the LLM Stats Score 43.1 to 16.6. Ember-1 is 4.4x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 16.6, ranking #51 overall.
In the 1 individual benchmarks reported for both models, Ember-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ember-1 is roughly 4.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ember-1 also accepts a larger context window (1,040,000 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
- overall performance matters — it scores 43.1 and ranks #51 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 4.4x cheaper per token
- you process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose o1-preview
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 8 for o1-preview
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while o1-preview 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 5.0x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 4.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Ember-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to o1-preview's 128,000 tokens. Only o1-preview specifies output context (32,768 tokens).
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 o1-preview was released on 2024-09-12.
Ember-1 is 25 months newer than o1-preview.
Sep 23, 2026
2 weeks ago
2.0yr newerSep 12, 2024
2.1 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
Ember-1 is available from Fireworks. o1-preview is available from OpenAI, Azure.
Ember-1
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs o1-preview.