LLM Comparison Tool
Mistral Nemo vs GPT-4o-mini
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral Nemo and OpenAI's GPT-4o-mini.
Mistral Nemo is 0.0% less expensive than GPT-4o-mini
Mistral Nemo was released on an unknown date relative to GPT-4o-mini
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
OpenAI
Model Name
Name of the model.
Mistral Nemo
GPT-4o-mini
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.15per million tokens
$0.15per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.15per million tokens
$0.60per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
Not available
128000Ktokens
Response Length
Maximum length of a single generated response.
Not available
16384Ktokens
Initial Release
First public release date.
Not available
July 18, 2024
Training Data Cutoff
Latest date of data included in training.
October 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
82.0score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
59.4score
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
87.2score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
70.2score
0-shotsource
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