LLM Comparison Tool
Codestral vs GPT-3.5-turbo
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Codestral and OpenAI's GPT-3.5-turbo.
Codestral is 60.0% less expensive than GPT-3.5-turbo
Codestral was released on an unknown date relative to GPT-3.5-turbo
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
OpenAIModel Name
Name of the model.
Codestral
GPT-3.5-turbo
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.20per million tokens
$0.50per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.60per million tokens
$1.50per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
Not available
4Ktokens
Response Length
Maximum length of a single generated response.
Not available
4096Ktokens
Initial Release
First public release date.
Not available
November 28, 2022
Training Data Cutoff
Latest date of data included in training.
September 2021
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
70.0score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
85.5score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
43.1score
0-shot
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