What are the differences?
Between the Mistral 8x7B Instruct and Command R LLM models, which follows best instructions?
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Mistral 8x7B Instruct
Mistral
Command R
Cohere For AI
Overview
Mistral 8x7B Instruct | Command R | |
|---|---|---|
Provider Organization responsible for this model. | Mistral | Cohere For AI |
Input Context Window The total number of tokens that the input context window can accommodate. | 32K | 128K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | 4K |
Release Date The initial release date of the model. | December 11, 2023 23 months ago | April 4, 2024 19 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/12 |
Pricing
Mistral 8x7B Instruct | Command R | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.70 | $0.50 |
Output Costs associated with the tokens produced by the model. | $0.70 | $1.50 |
Benchmark
Mistral 8x7B Instruct | Command R | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 70.6 | 68 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 87.6 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1114 | 1148 |
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Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
