Model Comparison
Codestral-22B vs Phi 4
Phi 4 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while Phi 4 is better at 1 benchmark (HumanEval).
Phi 4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Codestral-22B has 7.5B more parameters than Phi 4, making it 51.0% larger.
Context Window
Maximum input and output token capacity
Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Phi 4 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 was released on 2024-12-12.
Phi 4 is 7 months newer than Codestral-22B.
May 29, 2024
1.9 years ago
Dec 12, 2024
1.4 years ago
6mo newerKnowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Codestral-22B's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
—
Jun 2024
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Phi 4
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs Phi 4.