What are the differences?
Between the Mixtral 8x22b Instruct v0.1 and Command R+ LLM models, which follows best instructions?
Compare
to
Mixtral 8x22b Instruct v0.1
Mistral
Command R+
Cohere For AI
Overview
Mixtral 8x22b Instruct v0.1 | 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. | 64K | 128K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 4K |
Release Date The initial release date of the model. | Not specified. | April 4, 2024 19 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2024/4 |
Pricing
Mixtral 8x22b Instruct v0.1 | Command R+ | |
|---|---|---|
Input Costs associated with the data input to the model. | $2.00 | $3.00 |
Output Costs associated with the tokens produced by the model. | $6.00 | $15.00 |
Benchmark
Mixtral 8x22b Instruct v0.1 | Command R+ | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 77.8 | 76 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 88.6 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1147 | 1189 |
5000+ teams use Lunary to build reliable AI applications
Building an AI chatbot?
Open-source GenAI monitoring, prompt management, and magic.
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
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
