LLM Comparison Tool
Mistral Large 2 vs Mistral 7B Instruct
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral Large 2 and Mistral's Mistral 7B Instruct.
Mistral Large 2 is 1100.0% more expensive than Mistral 7B Instruct
Mistral Large 2 was released 10 months after after Mistral 7B Instruct
Mistral Large 2 shows better general knowledge performance with a 23.9% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
Mistral
Model Name
Name of the model.
Mistral Large 2
Mistral 7B Instruct
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$3.00per million tokens
$0.25per million tokens
Generation
Cost per million tokens for model-generated responses.
$9.00per million tokens
$0.25per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
8Ktokens
8Ktokens
Initial Release
First public release date.
July 24, 2024
September 27, 2023
Training Data Cutoff
Latest date of data included in training.
Unknown
Unknown
License Type
Model licensing and availability.
Open Source
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
84.0score
5-shotsource
60.1score
5-shotsource
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
Not available
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Ready-to-use demos for text, image & chat
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Modern Tech Stack
Next.js 14, TypeScript & Tailwind
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AI Integrations
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Full Infrastructure
Auth, database & payments included
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Professional Design
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Production Ready
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FAQ
Frequently asked questions
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