LLM Comparison Tool
Gemini 1.5 Pro vs Codestral
Comparison of Large Language Model capabilities, costs, and benchmark performance between Google's Gemini 1.5 Pro and Mistral's Codestral.
Gemini 1.5 Pro is 3400.0% more expensive than Codestral
Gemini 1.5 Pro was released on an unknown date relative to Codestral
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Google
MistralModel Name
Name of the model.
Gemini 1.5 Pro
Codestral
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$7.00per million tokens
$0.20per million tokens
Generation
Cost per million tokens for model-generated responses.
$21.00per million tokens
$0.60per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
1Ktokens
Not available
Response Length
Maximum length of a single generated response.
8Ktokens
Not available
Initial Release
First public release date.
February 15, 2024
Not available
Training Data Cutoff
Latest date of data included in training.
November 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
81.9score
5-shotsource
Not available
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
58.5score
0-shotsource
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
93.3score
10-shotsource
Not available
Code Generation (HumanEval)
Ability to write and understand programming code.
84.1score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
67.7score
Not available
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