Ember-1 vs Gemma 4 31B
Ember-1 leads the LLM Stats Score 43.1 to 33.0. Gemma 4 31B is 39.3x cheaper per token.
Fireworks AI · Google · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 33.0, ranking #51 overall.
On price, Gemma 4 31B is roughly 39.3x 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 — it leads those capability indexes
- 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 Gemma 4 31B
- cost matters — it's about 39.3x cheaper per token
- 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 · 12 for Gemma 4 31B
Ember-1 and Gemma 4 31Bdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Ember-1 ($3.00/1M tokens) is 33.3x more expensive than Gemma 4 31B ($0.09/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 44.1x more expensive than Gemma 4 31B ($0.34/1M tokens).
In conclusion, Ember-1 is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2749.3B more parameters than Gemma 4 31B, making it 8955.4% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Gemma 4 31B's 262,144 tokens. Only Gemma 4 31B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Gemma 4 31B supports multimodal inputs, whereas Ember-1 does not.
Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Gemma 4 31B
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Gemma 4 31B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Gemma 4 31B was released on 2026-04-02.
Ember-1 is 6 months newer than Gemma 4 31B.
Sep 23, 2026
2 weeks ago
5mo newerApr 2, 2026
6 months ago
Knowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Ember-1's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Ember-1's cutoff date.
—
Jan 2025
Provider Availability
Ember-1 is available from Fireworks. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.
Ember-1
Gemma 4 31B
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Gemma 4 31B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Gemma 4 31B.