LLM Comparison Tool
GPT-4-turbo-1106 vs Mistral Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-turbo-1106 and Mistral's Mistral Large.
GPT-4-turbo-1106 is 400.0% more expensive than Mistral Large
GPT-4-turbo-1106 was released 3 months before before Mistral Large
GPT-4-turbo-1106 shows better general knowledge performance with a 3.5% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
MistralModel Name
Name of the model.
GPT-4-turbo-1106
Mistral Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$2.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per million tokens
$6.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
4096Ktokens
4Ktokens
Initial Release
First public release date.
November 6, 2023
February 26, 2024
Training Data Cutoff
Latest date of data included in training.
April 2023
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
84.7score
5-shotsource
81.2score
5-shotsource
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
89.2score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
83.7score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
64.3score
0-shotsource
Not available
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