Model Comparison
Codestral-22B vs Phi-3.5-vision-instruct
Comparing Codestral-22B and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B and Phi-3.5-vision-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Codestral-22B has 18.0B more parameters than Phi-3.5-vision-instruct, making it 428.6% larger.
Input Capabilities
Supported data types and modalities
Phi-3.5-vision-instruct supports multimodal inputs, whereas Codestral-22B does not.
Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Phi-3.5-vision-instruct
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Phi-3.5-vision-instruct 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-3.5-vision-instruct was released on 2024-08-23.
Phi-3.5-vision-instruct is 3 months newer than Codestral-22B.
May 29, 2024
2.0 years ago
Aug 23, 2024
1.8 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
No standout differentiators in the data we have for this pair.
Phi-3.5-vision-instruct
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about Codestral-22B vs Phi-3.5-vision-instruct.