Ember-1 vs GPT-6.1 Sol
GPT-6.1 Sol leads the LLM Stats Score 54.3 to 43.6. GPT-6.1 Sol is 1.5x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
GPT-6.1 Sol leads the overall LLM Stats Score 54.3 to 43.6, ranking #5 overall.
In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6.1 Sol is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Sol 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 want predictable pricing at $3.00/M input and $15.00/M output
Choose GPT-6.1 Sol
- overall performance matters — it scores 54.3 and ranks #5 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
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 · 17 for GPT-6.1 Sol
Ember-1 outperforms in 0 benchmarks, while GPT-6.1 Sol is better at 1 benchmark (DeepSWE 1.1).
GPT-6.1 Sol 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 1.5x more expensive than GPT-6.1 Sol ($2.00/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 1.5x more expensive than GPT-6.1 Sol ($10.00/1M tokens).
In conclusion, Ember-1 is more expensive than GPT-6.1 Sol.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Sol accepts 1,050,000 input tokens compared to Ember-1's 1,040,000 tokens. Only GPT-6.1 Sol specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6.1 Sol supports multimodal inputs, whereas Ember-1 does not.
GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
GPT-6.1 Sol
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-6.1 Sol was released on 2026-09-29.
GPT-6.1 Sol is 0 month newer than Ember-1.
Sep 23, 2026
2 weeks ago
Sep 29, 2026
1 weeks ago
6d newerKnowledge Cutoff
When training data ends
GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Ember-1's cutoff date is not specified.
We can confirm GPT-6.1 Sol'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-6.1 Sol is available from OpenAI.
Ember-1
GPT-6.1 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and GPT-6.1 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs GPT-6.1 Sol.