LLM Comparison Tool
Llama 3.1 70b vs Llama 3.1 405b
Comparison of Large Language Model capabilities, costs, and benchmark performance between Together.AI's Llama 3.1 70b and IBM WatsonX's Llama 3.1 405b.
Llama 3.1 70b is 82.0% less expensive than Llama 3.1 405b
Llama 3.1 70b was released 0 days before before Llama 3.1 405b
Llama 3.1 405b shows better general knowledge performance with a 1.6% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Together.AIModel Name
Name of the model.
Llama 3.1 70b
Llama 3.1 405b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.90per million tokens
$5.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.90per million tokens
$16.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
2Ktokens
2Ktokens
Initial Release
First public release date.
July 23, 2024
July 23, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
December 2023
License Type
Model licensing and availability.
Open Source
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
83.6score
5-shot
85.2score
5-shot
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
73.8score
0-shot
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