LLM Comparison Tool
GPT-4-turbo-0125 vs Llama 3.1 405b
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-turbo-0125 and IBM WatsonX's Llama 3.1 405b.
GPT-4-turbo-0125 is 100.0% more expensive than Llama 3.1 405b
GPT-4-turbo-0125 was released 6 months before before Llama 3.1 405b
GPT-4-turbo-0125 shows better general knowledge performance with a 0.2% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIModel Name
Name of the model.
GPT-4-turbo-0125
Llama 3.1 405b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$5.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per 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.
4096Ktokens
2Ktokens
Initial Release
First public release date.
January 25, 2024
July 23, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
December 2023
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
85.4score
5-shotsource
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.
86.6score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
64.5score
0-shotsource
73.8score
0-shot
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