Ember-1 vs GPT-4.1 mini
Ember-1 leads the LLM Stats Score 43.1 to 14.0. GPT-4.1 mini is 8.6x cheaper per token.
Fireworks AI · OpenAI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 14.0, 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, GPT-4.1 mini is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 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 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
- you want the most recent training data — it shipped Sep 2026
Choose GPT-4.1 mini
- cost matters — it's about 8.6x cheaper per token
- you process long inputs — it offers a 1,047,576 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 · 28 for GPT-4.1 mini
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.1 mini 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 7.5x more expensive than GPT-4.1 mini ($0.40/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 9.4x more expensive than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, Ember-1 is more expensive than GPT-4.1 mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Ember-1's 1,040,000 tokens. Only GPT-4.1 mini specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4.1 mini supports multimodal inputs, whereas Ember-1 does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
GPT-4.1 mini
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-4.1 mini was released on 2025-04-14.
Ember-1 is 18 months newer than GPT-4.1 mini.
Sep 23, 2026
2 weeks ago
1.4yr newerApr 14, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Ember-1's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Ember-1's cutoff date.
—
May 2024
Provider Availability
Ember-1 is available from Fireworks. GPT-4.1 mini is available from OpenAI.
Ember-1
GPT-4.1 mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and GPT-4.1 mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs GPT-4.1 mini.