LLM Comparison Tool
Mistral Nemo vs Gemini 1.5 Pro
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral Nemo and Google's Gemini 1.5 Pro.
Mistral Nemo is 97.9% less expensive than Gemini 1.5 Pro
Mistral Nemo was released on an unknown date relative to Gemini 1.5 Pro
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
GoogleModel Name
Name of the model.
Mistral Nemo
Gemini 1.5 Pro
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.15per million tokens
$7.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.15per million tokens
$21.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
Not available
1Ktokens
Response Length
Maximum length of a single generated response.
Not available
8Ktokens
Initial Release
First public release date.
Not available
February 15, 2024
Training Data Cutoff
Latest date of data included in training.
November 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
81.9score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
58.5score
0-shotsource
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
93.3score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
84.1score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
67.7score
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