LLM Comparison Tool
GPT-4-32k-0613 vs Codestral
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-32k-0613 and Mistral's Codestral.
GPT-4-32k-0613 is 29900.0% more expensive than Codestral
GPT-4-32k-0613 was released on an unknown date relative to Codestral
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
MistralModel Name
Name of the model.
GPT-4-32k-0613
Codestral
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$60.00per million tokens
$0.20per million tokens
Generation
Cost per million tokens for model-generated responses.
$120.00per million tokens
$0.60per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32800Ktokens
Not available
Response Length
Maximum length of a single generated response.
Not available
Not available
Initial Release
First public release date.
June 13, 2023
Not available
Training Data Cutoff
Latest date of data included in training.
Unknown
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
Not available
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
Not available
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
Not available
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