Codestral-22B vs Pixtral Large Comparison
Comparing Codestral-22B and Pixtral Large across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B and Pixtral Large don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Pixtral Large has 101.8B more parameters than Codestral-22B, making it 458.6% larger.
Context Window
Maximum input and output token capacity
Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Pixtral Large supports multimodal inputs, whereas Codestral-22B does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Pixtral Large
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 6 months newer than Codestral-22B.
May 29, 2024
1.8 years ago
Nov 18, 2024
1.3 years ago
5mo 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
Pixtral Large
View detailsMistral AI
Detailed Comparison
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