Ember-1 vs Mistral Small 3.1 24B Base
Ember-1 leads the LLM Stats Score 43.1 to 0.3. Mistral Small 3.1 24B Base is 40.0x cheaper per token.
Fireworks AI · Mistral AI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.1 to 0.3, ranking #51 overall.
On price, Mistral Small 3.1 24B Base is roughly 40.0x 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 Mistral Small 3.1 24B Base
- cost matters — it's about 40.0x 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 · 5 for Mistral Small 3.1 24B Base
Ember-1 and Mistral Small 3.1 24B Basedon'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 30.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 50.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Ember-1 is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2756.0B more parameters than Mistral Small 3.1 24B Base, making it 11483.3% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas Ember-1 does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ember-1
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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 Mistral Small 3.1 24B Base was released on 2025-03-17.
Ember-1 is 19 months newer than Mistral Small 3.1 24B Base.
Sep 23, 2026
2 weeks ago
1.5yr newerMar 17, 2025
1.6 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. Mistral Small 3.1 24B Base is available from Mistral AI.
Ember-1
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Mistral Small 3.1 24B Base.