Ember-1 vs GPT-5.2
Ember-1 and GPT-5.2 are closely matched at 43.1 and 41.1 on the LLM Stats Score. GPT-5.2 is 1.2x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
Ember-1 and GPT-5.2 are closely matched on the overall LLM Stats Score at 43.1 and 41.1.
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, GPT-5.2 is roughly 1.2x 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
- your work emphasizes coding and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 GPT-5.2
- cost matters — it's about 1.2x cheaper per token
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 · 24 for GPT-5.2
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-5.2 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 1.7x more expensive than GPT-5.2 ($1.75/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 1.1x more expensive than GPT-5.2 ($14.00/1M tokens).
In conclusion, Ember-1 is more expensive than GPT-5.2.*
* 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 GPT-5.2's 400,000 tokens. Only GPT-5.2 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-5.2 supports multimodal inputs, whereas Ember-1 does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
GPT-5.2
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 GPT-5.2 was released on 2025-12-11.
Ember-1 is 10 months newer than GPT-5.2.
Sep 23, 2026
2 weeks ago
9mo newerDec 11, 2025
10 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Ember-1's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Ember-1's cutoff date.
—
Aug 2025
Provider Availability
Ember-1 is available from Fireworks. GPT-5.2 is available from OpenAI.
Ember-1
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs GPT-5.2.