Claude 3 Haiku vs Codestral-22B Comparison
Comparing Claude 3 Haiku and Codestral-22B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while Codestral-22B is better at 1 benchmark (HumanEval).
Codestral-22B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas Codestral-22B does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Codestral-22B
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MNPL-0.1
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Codestral-22B was released on 2024-05-29.
Codestral-22B is 3 months newer than Claude 3 Haiku.
Mar 13, 2024
2.0 years ago
May 29, 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
Claude 3 Haiku
View detailsAnthropic
Codestral-22B
View detailsMistral AI
Detailed Comparison
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