LLM Comparison Tool
Mixtral 8x7B vs Llama 3.1 70b
Comparison of Large Language Model capabilities, costs, and benchmark performance between Together.AI's Mixtral 8x7B and Perplexity's Llama 3.1 70b.
Mixtral 8x7B is 40.0% less expensive than Llama 3.1 70b
Mixtral 8x7B was released 7 months before before Llama 3.1 70b
Llama 3.1 70b shows better general knowledge performance with a 13.0% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Together.AI
PerplexityModel Name
Name of the model.
Mixtral 8x7B
Llama 3.1 70b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.60per million tokens
$1.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.60per 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.
December 11, 2023
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.
70.6score
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.
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
68.0score
0-shot
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