Codestral-22B vs Claude 3 Haiku
Comparing Codestral-22B by Mistral AI and Claude 3 Haiku by Anthropic across benchmarks, pricing, and capabilities.
Codestral-22B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 1 benchmarks (HumanEval), while Claude 3 Haiku is better at 0 benchmarks.
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.
Codestral-22B
Claude 3 Haiku
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Claude 3 Haiku uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Claude 3 Haiku was released on 2024-03-13.
Codestral-22B is 3 months newer than Claude 3 Haiku.
May 29, 2024
1.8 years ago
2mo newerMar 13, 2024
2.0 years ago
Knowledge 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
Claude 3 Haiku
View detailsAnthropic
Detailed Comparison
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