Codestral-22B vs Command R+
Codestral-22B and Command R+ are closely matched at 0.2 and -0.1 on the LLM Stats Score.
Mistral AI · Cohere · Updated for 2026
Which is better?
Codestral-22B and Command R+ are closely matched on the overall LLM Stats Score at 0.2 and -0.1.
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 Command R+
- you want the most recent training data — it shipped Aug 2024
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 6 for Command R+
Codestral-22B and Command R+don'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
Command R+ has 81.8B more parameters than Codestral-22B, making it 368.5% larger.
Context Window
Maximum input and output token capacity
Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Command R+ uses CC BY-NC.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
CC BY-NC
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Command R+ was released on 2024-08-30.
Command R+ is 3 months newer than Codestral-22B.
May 29, 2024
2.3 years ago
Aug 30, 2024
2.0 years ago
3mo 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 Command R+ side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs Command R+.