LLM Comparison Tool
deepseek-chat vs Llama 3.1 405b
Comparison of Large Language Model capabilities, costs, and benchmark performance between Deepseek's deepseek-chat and IBM WatsonX's Llama 3.1 405b.
deepseek-chat is 97.2% less expensive than Llama 3.1 405b
deepseek-chat was released on an unknown date relative to Llama 3.1 405b
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Model Name
Name of the model.
deepseek-chat
Llama 3.1 405b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.14per million tokens
$5.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.28per million tokens
$16.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
Not available
128000Ktokens
Response Length
Maximum length of a single generated response.
Not available
2Ktokens
Initial Release
First public release date.
Not available
July 23, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
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.
Not available
73.8score
0-shot
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