What are the differences?
Between the Llama 3 8B Instruct and OpenChat 3.5 0106 LLM models, which follows best instructions?
Compare
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Llama 3 8B Instruct
Meta

OpenChat 3.5 0106
OpenChat
Overview
| Llama 3 8B Instruct |  OpenChat 3.5 0106 | |
|---|---|---|
| Provider Organization responsible for this model. | Meta |  OpenChat | 
| Input Context Window The total number of tokens that the input context window can accommodate. | 8K | 8.2K | 
| Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 2K | 4.1K | 
| Release Date The initial release date of the model. | April 18, 2024 19 months ago | November 1, 2023 24 months ago | 
| Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/3 | 
Pricing
| Llama 3 8B Instruct |  OpenChat 3.5 0106 | |
|---|---|---|
| Input Costs associated with the data input to the model. | Not specified. | Not specified. | 
| Output Costs associated with the tokens produced by the model. | Not specified. | Not specified. | 
Benchmark
| Llama 3 8B Instruct |  OpenChat 3.5 0106 | |
|---|---|---|
| MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 68.4 | 65.8 | 
| MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
| HellaSwag A demanding benchmark for sentence completion tasks. | ||
| Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1146 | 1091 | 
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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
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



