Codestral-22B vs Jamba 1.5 Mini
Comparing Codestral-22B by Mistral AI and Jamba 1.5 Mini by AI21 Labs across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B and Jamba 1.5 Mini 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
Jamba 1.5 Mini has 29.8B more parameters than Codestral-22B, making it 134.2% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Jamba 1.5 Mini uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Jamba 1.5 Mini was released on 2024-08-22.
Jamba 1.5 Mini is 3 months newer than Codestral-22B.
May 29, 2024
1.8 years ago
Aug 22, 2024
1.6 years ago
2mo newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Codestral-22B's cutoff date is not specified.
We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Codestral-22B's cutoff date.
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Mar 2024
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Jamba 1.5 Mini
View detailsAI21 Labs
Detailed Comparison
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