What are the differences?
Between the GPT-4 Turbo 1106 and Llama 3 70B Instruct LLM models, which follows best instructions?
Compare
to
GPT-4 Turbo 1106
OpenAI
Llama 3 70B Instruct
Meta
Overview
GPT-4 Turbo 1106 | Llama 3 70B Instruct | |
|---|---|---|
Provider Organization responsible for this model. | OpenAI | Meta |
Input Context Window The total number of tokens that the input context window can accommodate. | 128K | 8K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | 2K |
Release Date The initial release date of the model. | November 6, 2023 24 months ago | April 18, 2024 19 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/12 |
Pricing
GPT-4 Turbo 1106 | Llama 3 70B Instruct | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.01 | Not specified. |
Output Costs associated with the tokens produced by the model. | $0.01 | Not specified. |
Benchmark
GPT-4 Turbo 1106 | Llama 3 70B Instruct | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 80.06 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 85.69 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1251 | 1207 |
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
