Ember-1 vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 58.3 to 43.1. Ember-1 is 3.3x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 58.3 to 43.1, ranking #3 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 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Sep 2026
Choose GPT-6 Astra
- overall performance matters — it scores 58.3 and ranks #3 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 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 · 22 for GPT-6 Astra
Ember-1 outperforms in 1 benchmarks (DeepSWE 1.1), while GPT-6 Astra 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 3.3x cheaper than GPT-6 Astra ($10.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 3.3x cheaper than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Ember-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Ember-1's 1,040,000 tokens. Only GPT-6 Astra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Ember-1 does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
GPT-6 Astra
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-6 Astra was released on 2026-09-04.
Ember-1 is 1 month newer than GPT-6 Astra.
Sep 23, 2026
2 weeks ago
2w newerSep 4, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Ember-1's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Ember-1's cutoff date.
—
Apr 2026
Provider Availability
Ember-1 is available from Fireworks. GPT-6 Astra is available from OpenAI.
Ember-1
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs GPT-6 Astra.