LLM Comparison Tool
Mistral Large vs Gemini 1.5 Pro
Comparison of Large Language Model capabilities, costs, and benchmark performance between IBM WatsonX's Mistral Large and Google's Gemini 1.5 Pro.
Mistral Large is 42.9% more expensive than Gemini 1.5 Pro
Mistral Large was released 11 days after after Gemini 1.5 Pro
Gemini 1.5 Pro shows better general knowledge performance with a 0.7% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
GoogleModel Name
Name of the model.
Mistral Large
Gemini 1.5 Pro
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$7.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$10.00per million tokens
$21.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
1Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
8Ktokens
Initial Release
First public release date.
February 26, 2024
February 15, 2024
Training Data Cutoff
Latest date of data included in training.
Unknown
November 2023
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
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.
89.2score
10-shotsource
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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