Codestral-22B vs Ember-1
Ember-1 leads the LLM Stats Score 43.6 to 0.0.
Mistral AI · Fireworks AI · Updated for 2026
Which is better?
Ember-1 leads the overall LLM Stats Score 43.6 to 0.0, ranking #45 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you need open weights you can self-host or fine-tune
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
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 4 for Ember-1
Codestral-22B and Ember-1don'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 2757.8B more parameters than Codestral-22B, making it 12422.5% larger.
Context Window
Maximum input and output token capacity
Only Ember-1 specifies input context (1,040,000 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Ember-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Ember-1 was released on 2026-09-23.
Ember-1 is 28 months newer than Codestral-22B.
May 29, 2024
2.4 years ago
Sep 23, 2026
2 weeks ago
2.3yr newerKnowledge 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 Codestral-22B and Ember-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs Ember-1.