What are the differences?
Between the Qwen1.5 14B Chat and GPT-4 32K LLM models, which follows best instructions?
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Qwen1.5 14B Chat
Alibaba Cloud
GPT-4 32K
OpenAI
Overview
Qwen1.5 14B Chat | GPT-4 32K | |
|---|---|---|
Provider Organization responsible for this model. | Alibaba Cloud | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 33K | 33K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 4.1K |
Release Date The initial release date of the model. | February 5, 2024 21 months ago | March 14, 2023 32 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2024/2 |
Pricing
Qwen1.5 14B Chat | GPT-4 32K | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.06 |
Output Costs associated with the tokens produced by the model. | Not specified. | $0.12 |
Benchmark
Qwen1.5 14B Chat | GPT-4 32K | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 86.4 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 95.3 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1108 |
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Open Source
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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
