Gemini 1.5 Flash vs Codestral-22B
Comparing Gemini 1.5 Flash by Google and Codestral-22B by Mistral AI across benchmarks, pricing, and capabilities.
Codestral-22B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash 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 Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash supports multimodal inputs, whereas Codestral-22B does not.
Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash
Codestral-22B
License
Usage and distribution terms
Gemini 1.5 Flash 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
Gemini 1.5 Flash was released on 2024-05-01, while Codestral-22B was released on 2024-05-29.
Codestral-22B is 1 month newer than Gemini 1.5 Flash.
May 1, 2024
1.9 years ago
May 29, 2024
1.8 years ago
4w newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Codestral-22B's cutoff date is not specified.
We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
Nov 2023
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Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Gemini 1.5 FlashCodestral-22BDetailed Comparison
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