What are the differences?
Between the GPT-4o and Qwen1.5 72B Chat LLM models, which follows best instructions?
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GPT-4o
OpenAI
Qwen1.5 72B Chat
Alibaba Cloud
Overview
GPT-4o | Qwen1.5 72B Chat | |
|---|---|---|
Provider Organization responsible for this model. | OpenAI | Alibaba Cloud |
Input Context Window The total number of tokens that the input context window can accommodate. | 128K | 33K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 2K | Not specified. |
Release Date The initial release date of the model. | May 12, 2024 18 months ago | February 5, 2024 21 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/10 |
Pricing
GPT-4o | Qwen1.5 72B Chat | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.01 | Not specified. |
Output Costs associated with the tokens produced by the model. | $0.02 | Not specified. |
Benchmark
GPT-4o | Qwen1.5 72B Chat | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 88.7 | 77.44 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 69.1 | |
HellaSwag A demanding benchmark for sentence completion tasks. | 86.42 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1287 | 1147 |
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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
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
