Codestral-22B vs Gemini 1.5 Pro Comparison
Comparing Codestral-22B and Gemini 1.5 Pro across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Codestral-22B outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 1 benchmark (HumanEval).
Gemini 1.5 Pro 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 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas Codestral-22B does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Gemini 1.5 Pro
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Gemini 1.5 Pro 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 Gemini 1.5 Pro was released on 2024-05-01.
Codestral-22B is 1 month newer than Gemini 1.5 Pro.
May 29, 2024
1.8 years ago
4w newerMay 1, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Codestral-22B's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Codestral-22B's cutoff date.
—
Nov 2023
Outputs Comparison
Key Takeaways
Codestral-22B
View detailsMistral AI
Detailed Comparison
| Feature |
|---|