LLM Comparison Tool
Mistral Large vs Yi-Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between IBM WatsonX's Mistral Large and 01.ai's Yi-Large.
Mistral Large is 233.3% more expensive than Yi-Large
Mistral Large was released on an unknown date relative to Yi-Large
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
01.aiModel Name
Name of the model.
Mistral Large
Yi-Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$3.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$10.00per million tokens
$3.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
Not available
Response Length
Maximum length of a single generated response.
4Ktokens
Not available
Initial Release
First public release date.
February 26, 2024
Not available
Training Data Cutoff
Latest date of data included in training.
Unknown
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
Not available
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.
89.2score
10-shotsource
Not available
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
Not available
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