What are the differences?
Between the GPT-4 Turbo 1106 and Gemini 1.5 Flash LLM models, which follows best instructions?
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GPT-4 Turbo 1106
OpenAI
Gemini 1.5 Flash
Overview
GPT-4 Turbo 1106 | Gemini 1.5 Flash | |
|---|---|---|
Provider Organization responsible for this model. | OpenAI | |
Input Context Window The total number of tokens that the input context window can accommodate. | 128K | 1M |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | 8.2K |
Release Date The initial release date of the model. | November 6, 2023 24 months ago | May 24, 2024 17 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/12 |
Pricing
GPT-4 Turbo 1106 | Gemini 1.5 Flash | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.01 | $0.35 |
Output Costs associated with the tokens produced by the model. | $0.01 | $0.70 |
Benchmark
GPT-4 Turbo 1106 | Gemini 1.5 Flash | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 78.9 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 56.1 | |
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1251 | 1231 |
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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
