Ember-1 vs Gemma 2 9B
Ember-1 leads the LLM Stats Score 43.6 to -4.9.
Fireworks AI · Google · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to -4.9, ranking #45 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ember-1
- overall performance matters — it scores 43.6 and ranks #45 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Gemma 2 9B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
4 reported for Ember-1 · 16 for Gemma 2 9B
Ember-1 and Gemma 2 9Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Ember-1 has 2770.8B more parameters than Gemma 2 9B, making it 29986.6% 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 Gemma 2 9B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Gemma 2 9B was released on 2024-06-27.
Ember-1 is 27 months newer than Gemma 2 9B.
Sep 23, 2026
2 weeks ago
2.2yr newerJun 27, 2024
2.3 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 Gemma 2 9B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Gemma 2 9B.