What are the differences?
Between the DBRX Instruct Preview and GPT-4 Turbo LLM models, which follows best instructions?
Compare
to
DBRX Instruct Preview
Databricks
GPT-4 Turbo
OpenAI
Overview
DBRX Instruct Preview | GPT-4 Turbo | |
|---|---|---|
Provider Organization responsible for this model. | Databricks | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 32K | 128K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4K | 4.1K |
Release Date The initial release date of the model. | Not specified. | November 6, 2023 24 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/12 |
Pricing
DBRX Instruct Preview | GPT-4 Turbo | |
|---|---|---|
Input Costs associated with the data input to the model. | $2.25 | $0.01 |
Output Costs associated with the tokens produced by the model. | $6.75 | $0.03 |
Benchmark
DBRX Instruct Preview | GPT-4 Turbo | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 73.7 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 89 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1103 |
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
