LLM Comparison Tool
GPT-4-0613 vs Yi-Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-0613 and Fireworks's Yi-Large.
GPT-4-0613 is 900.0% more expensive than Yi-Large
GPT-4-0613 was released on an unknown date relative to Yi-Large
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
Fireworks
Model Name
Name of the model.
GPT-4-0613
Yi-Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$30.00per million tokens
$3.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$60.00per million tokens
$3.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
8192Ktokens
Not available
Response Length
Maximum length of a single generated response.
8192Ktokens
Not available
Initial Release
First public release date.
June 13, 2023
Not available
Training Data Cutoff
Latest date of data included in training.
September 2021
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
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.
Not available
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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