What are the differences?
Between the Yi 34B Chat and GPT-4 Turbo 1106 LLM models, which follows best instructions?
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Yi 34B Chat
01 ai
GPT-4 Turbo 1106
OpenAI
Overview
Yi 34B Chat | GPT-4 Turbo 1106 | |
|---|---|---|
Provider Organization responsible for this model. | 01 ai | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 200K | 128K |
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. | November 8, 2023 24 months ago | November 6, 2023 24 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/6 |
Pricing
Yi 34B Chat | GPT-4 Turbo 1106 | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.01 |
Output Costs associated with the tokens produced by the model. | Not specified. | $0.01 |
Benchmark
Yi 34B Chat | GPT-4 Turbo 1106 | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 67.62 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 36.5 | |
HellaSwag A demanding benchmark for sentence completion tasks. | 84.2 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1111 | 1251 |
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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
