What are the differences?
Between the GPT-4 Turbo 2024-04-09 and Vicuna 13B LLM models, which follows best instructions?
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GPT-4 Turbo 2024-04-09
OpenAI
Vicuna 13B
LMSYS
Overview
GPT-4 Turbo 2024-04-09 | Vicuna 13B | |
|---|---|---|
Provider Organization responsible for this model. | OpenAI | LMSYS |
Input Context Window The total number of tokens that the input context window can accommodate. | 128K | 2K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | Not specified. |
Release Date The initial release date of the model. | April 9, 2024 19 months ago | March 30, 2023 31 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/12 |
Pricing
GPT-4 Turbo 2024-04-09 | Vicuna 13B | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.01 | Not specified. |
Output Costs associated with the tokens produced by the model. | $0.03 | Not specified. |
Benchmark
GPT-4 Turbo 2024-04-09 | Vicuna 13B | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 52.1 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1256 | 1041 |
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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
