LLM Comparison Tool
Llama 3.1 70b vs Yi-Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between IBM WatsonX's Llama 3.1 70b and Fireworks's Yi-Large.
Llama 3.1 70b is 40.0% less expensive than Yi-Large
Llama 3.1 70b was released on an unknown date relative to Yi-Large
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Model Name
Name of the model.
Llama 3.1 70b
Yi-Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$1.80per million tokens
$3.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$1.80per million tokens
$3.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
Not available
Response Length
Maximum length of a single generated response.
2Ktokens
Not available
Initial Release
First public release date.
July 23, 2024
Not available
Training Data Cutoff
Latest date of data included in training.
December 2023
License Type
Model licensing and availability.
Open Source
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
83.6score
5-shot
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.
68.0score
0-shot
Not available
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