Ember-1 vs Mistral Small
Comparing Ember-1 and Mistral Small across benchmarks, pricing, and capabilities.
Fireworks AI · Mistral AI · Updated for 2026
Which is better?
Ember-1 and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 20.0x 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
- 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
- cost matters — it's about 20.0x 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 · 0 for Mistral Small
Ember-1 and Mistral Smalldon'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 15.0x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, Ember-1 ($15.00/1M tokens) is 25.0x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, Ember-1 is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ember-1 has 2758.0B more parameters than Mistral Small, making it 12536.4% larger.
Context Window
Maximum input and output token capacity
Ember-1 accepts 1,040,000 input tokens compared to Mistral Small's 32,768 tokens. Only Mistral Small specifies output context (32,768 tokens).
License
Usage and distribution terms
Ember-1 is licensed under a proprietary license, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
Ember-1 was released on 2026-09-23, while Mistral Small was released on 2024-09-17.
Ember-1 is 25 months newer than Mistral Small.
Sep 23, 2026
2 weeks ago
2.0yr newerSep 17, 2024
2.1 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 is available from Mistral AI.
Ember-1
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Ember-1 and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ember-1 vs Mistral Small.