LLM Comparison Tool
Mistral Large vs Llama 3.1 70b
Comparison of Large Language Model capabilities, costs, and benchmark performance between IBM WatsonX's Mistral Large and Perplexity's Llama 3.1 70b.
Mistral Large is 900.0% more expensive than Llama 3.1 70b
Mistral Large was released 5 months before before Llama 3.1 70b
Llama 3.1 70b shows better general knowledge performance with a 2.4% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
PerplexityModel Name
Name of the model.
Mistral Large
Llama 3.1 70b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$1.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$10.00per million tokens
$1.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
2Ktokens
Initial Release
First public release date.
February 26, 2024
July 23, 2024
Training Data Cutoff
Latest date of data included in training.
Unknown
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.
81.2score
5-shotsource
83.6score
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.
89.2score
10-shotsource
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
68.0score
0-shot
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