What are the differences?
Between the Llama 3 8B Instruct and GPT-4o LLM models, which follows best instructions?
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Llama 3 8B Instruct
Meta
GPT-4o
OpenAI
Overview
Llama 3 8B Instruct | GPT-4o | |
|---|---|---|
Provider Organization responsible for this model. | Meta | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 8K | 128K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 2K | 2K |
Release Date The initial release date of the model. | April 18, 2024 19 months ago | May 12, 2024 18 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/3 |
Pricing
Llama 3 8B Instruct | GPT-4o | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.01 |
Output Costs associated with the tokens produced by the model. | Not specified. | $0.02 |
Benchmark
Llama 3 8B Instruct | GPT-4o | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 68.4 | 88.7 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 69.1 | |
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1146 | 1287 |
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Open Source
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1-line Integration
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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
