What are the differences?
Between the Mixtral 8x22b Instruct v0.1 and Chat Bison LLM models, which follows best instructions?
Compare
to
Mixtral 8x22b Instruct v0.1
Mistral
Chat Bison
Overview
Mixtral 8x22b Instruct v0.1 | Chat Bison | |
|---|---|---|
Provider Organization responsible for this model. | Mistral | |
Input Context Window The total number of tokens that the input context window can accommodate. | 64K | 8.2K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 2K |
Release Date The initial release date of the model. | Not specified. | May 10, 2023 30 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 | Chat Bison | |
|---|---|---|
Input Costs associated with the data input to the model. | $2.00 | $0.25 |
Output Costs associated with the tokens produced by the model. | $6.00 | $0.50 |
Benchmark
Mixtral 8x22b Instruct v0.1 | Chat Bison | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 77.8 | 78.3 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1147 |
5000+ teams use Lunary to build reliable AI applications
Compare more models
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
