LLM Comparison Tool
Mistral Large vs GPT-4-32k
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral Large and OpenAI's GPT-4-32k.
Mistral Large is 96.7% less expensive than GPT-4-32k
Mistral Large was released 11 months after after GPT-4-32k
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
OpenAIModel Name
Name of the model.
Mistral Large
GPT-4-32k
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$2.00per million tokens
$60.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$6.00per million tokens
$120.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
32800Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
Not available
Initial Release
First public release date.
February 26, 2024
March 14, 2023
Training Data Cutoff
Latest date of data included in training.
Unknown
Unknown
License Type
Model licensing and availability.
Open Source
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
81.2score
5-shotsource
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.
89.2score
10-shotsource
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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