Ember-1 vs MiniMax M1 80K
Ember-1 leads the LLM Stats Score 43.1 to 21.4. MiniMax M1 80K is 6.2x cheaper per token.
Fireworks AI · MiniMax · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 21.4, 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, MiniMax M1 80K is roughly 6.2x 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
- 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 process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose MiniMax M1 80K
- cost matters — it's about 6.2x cheaper per token
- 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 80K
Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while MiniMax M1 80K 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 5.5x more expensive than MiniMax M1 80K ($0.55/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 6.8x more expensive than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, Ember-1 is more expensive than MiniMax M1 80K.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2324.0B more parameters than MiniMax M1 80K, making it 509.6% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. Only MiniMax M1 80K specifies output context (40,000 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while MiniMax M1 80K 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 80K was released on 2025-06-16.
Ember-1 is 15 months newer than MiniMax M1 80K.
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.
Provider Availability
Ember-1 is available from Fireworks. MiniMax M1 80K is available from Novita.
Ember-1
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs MiniMax M1 80K.