Codestral-22B vs Phi 4 Mini
Codestral-22B leads the LLM Stats Score 0.1 to -4.0.
Mistral AI · Microsoft · Updated for 2026
Which is better?
Codestral-22B leads the overall LLM Stats Score 0.1 to -4.0, ranking #324 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- overall performance matters — it scores 0.1 and ranks #324 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
Choose Phi 4 Mini
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 17 for Phi 4 Mini
Codestral-22B and Phi 4 Minidon'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 18.4B more parameters than Phi 4 Mini, making it 478.1% larger.
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Phi 4 Mini uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Phi 4 Mini was released on 2025-02-01.
Phi 4 Mini is 8 months newer than Codestral-22B.
May 29, 2024
2.3 years ago
Feb 1, 2025
1.6 years ago
8mo newerKnowledge Cutoff
When training data ends
Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Codestral-22B's cutoff date is not specified.
We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
—
Jun 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against Codestral-22B and Phi 4 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs Phi 4 Mini.