LLM Comparison Tool
GPT-4-0613 vs Mistral Nemo
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-0613 and Mistral's Mistral Nemo.
GPT-4-0613 is 19900.0% more expensive than Mistral Nemo
GPT-4-0613 was released on an unknown date relative to Mistral Nemo
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
MistralModel Name
Name of the model.
GPT-4-0613
Mistral Nemo
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$30.00per million tokens
$0.15per million tokens
Generation
Cost per million tokens for model-generated responses.
$60.00per million tokens
$0.15per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
8192Ktokens
Not available
Response Length
Maximum length of a single generated response.
8192Ktokens
Not available
Initial Release
First public release date.
June 13, 2023
Not available
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
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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