What are the differences?
Between the Gemini 1.5 Nano and DBRX Instruct Preview LLM models, which follows best instructions?
Compare
to
Gemini 1.5 Nano
DBRX Instruct Preview
Databricks
Overview
Gemini 1.5 Nano | DBRX Instruct Preview | |
|---|---|---|
Provider Organization responsible for this model. | | Databricks |
Input Context Window The total number of tokens that the input context window can accommodate. | Not specified. | 32K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 4K |
Release Date The initial release date of the model. | May 14, 2024 18 months ago | Not specified. |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | Not specified. |
Pricing
Gemini 1.5 Nano | DBRX Instruct Preview | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $2.25 |
Output Costs associated with the tokens produced by the model. | Not specified. | $6.75 |
Benchmark
Gemini 1.5 Nano | DBRX Instruct Preview | |
|---|---|---|
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
