Codestral-22B vs LFM3-1.7B
LFM3-1.7B leads the LLM Stats Score 25.0 to -0.4.
Mistral AI · Liquid AI · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to -0.4, ranking #192 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you are already invested in the Mistral AI ecosystem
Choose LFM3-1.7B
- overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 20 for LFM3-1.7B
Codestral-22B and LFM3-1.7Bdon'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
Codestral-22B has 20.5B more parameters than LFM3-1.7B, making it 1183.2% larger.
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while LFM3-1.7B uses LFM Open License v1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while LFM3-1.7B was released on 2026-10-27.
LFM3-1.7B is 29 months newer than Codestral-22B.
May 29, 2024
2.4 years ago
Oct 27, 2026
4 days ago
2.4yr 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 LFM3-1.7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs LFM3-1.7B.