LLM Comparison Tool
Command R vs Mistral 7B Instruct
Comparison of Large Language Model capabilities, costs, and benchmark performance between Cohere's Command R and Mistral's Mistral 7B Instruct.
Command R is 40.0% less expensive than Mistral 7B Instruct
Command R was released on an unknown date relative to Mistral 7B Instruct
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Cohere
Mistral
Model Name
Name of the model.
Command R
Mistral 7B Instruct
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.15per million tokens
$0.25per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.60per million tokens
$0.25per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
Not available
32000Ktokens
Response Length
Maximum length of a single generated response.
Not available
8Ktokens
Initial Release
First public release date.
Not available
September 27, 2023
Training Data Cutoff
Latest date of data included in training.
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
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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10+ AI Templates
Ready-to-use demos for text, image & chat
- ⚡
Modern Tech Stack
Next.js 14, TypeScript & Tailwind
- 🔌
AI Integrations
OpenAI, Anthropic & Replicate ready
- 🛠️
Full Infrastructure
Auth, database & payments included
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Professional Design
6+ landing pages & modern UI kit
- 📱
Production Ready
SEO optimized & ready to deploy
All Large Language Models
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FAQ
Frequently asked questions
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