LLM Comparison Tool
Gemini 1.5 Pro vs Mistral Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between Google's Gemini 1.5 Pro and Mistral's Mistral Large.
Gemini 1.5 Pro is 250.0% more expensive than Mistral Large
Gemini 1.5 Pro was released 11 days before before Mistral Large
Gemini 1.5 Pro shows better general knowledge performance with a 0.7% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Google
MistralModel Name
Name of the model.
Gemini 1.5 Pro
Mistral Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$7.00per million tokens
$2.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$21.00per million tokens
$6.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
1Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
8Ktokens
4Ktokens
Initial Release
First public release date.
February 15, 2024
February 26, 2024
Training Data Cutoff
Latest date of data included in training.
November 2023
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
81.9score
5-shotsource
81.2score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
58.5score
0-shotsource
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
93.3score
10-shotsource
89.2score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
84.1score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
67.7score
Not available
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