Ember-1 vs MiniMax M1 40K
Ember-1 leads the LLM Stats Score 43.1 to 20.5.
Fireworks AI · MiniMax · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 20.5, 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.
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 MiniMax M1 40K
- you need open weights you can self-host or fine-tune
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 · 16 for MiniMax M1 40K
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 40K is better at 0 benchmarks.
Ember-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Ember-1 has 2324.0B more parameters than MiniMax M1 40K, making it 509.6% larger.
Context Window
Maximum input and output token capacity
Only Ember-1 specifies input context (1,040,000 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while MiniMax M1 40K uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while MiniMax M1 40K was released on 2025-06-16.
Ember-1 is 15 months newer than MiniMax M1 40K.
Sep 23, 2026
2 weeks ago
1.3yr newerJun 16, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and MiniMax M1 40K side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs MiniMax M1 40K.