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Get all the details on GPT-4o, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as multimodal_input, code_interpretation_via_tool, computer_use_via_tool, available API code samples, and performance strengths.
Key Metrics
Input Limit
128K tokens
Output Limit
16.4K tokens
Input Cost
$2.50/1M
Output Cost
$10.00/1M
Sample API Code
from openai import OpenAI;client = OpenAI();response = client.chat.completions.create(model="gpt-4o-2024-11-20",messages=[{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello!"}]);print(response.choices[0].message.content)Required Libraries
openai
openai
Benchmarks
| Benchmark | Score | Source | Notes |
|---|---|---|---|
0.52 | OpenLLM Leaderboard | Average Win Rate for chatgpt-4o-latest-20241120 | |
964 | OpenLLM Leaderboard | - | |
0.46 | OpenLLM Leaderboard | Average Win Rate for chatgpt-4o-latest-20241120 | |
1000 | OpenLLM Leaderboard | Score for api-gpt-4o-search | |
72.08% | Vellum LLM Leaderboard | - | |
13.4% | Vellum LLM Leaderboard | - | |
56.1% | Vellum LLM Leaderboard | - | |
31% | Vellum LLM Leaderboard | - | |
60.3% | Vellum LLM Leaderboard | - | |
27.1% | Vellum LLM Leaderboard | - | |
53.95 | LiveBench Leaderboard | - | |
39.75 | LiveBench Leaderboard | - | |
69.29 | LiveBench Leaderboard | - | |
41.48 | LiveBench Leaderboard | - | |
63.53 | LiveBench Leaderboard | - | |
44.68 | LiveBench Leaderboard | - | |
64.94 | LiveBench Leaderboard | - |
Notes
GPT-4o (“o” for “omni”) is OpenAI's versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is OpenAI's most capable model outside of their o-series models.
Capabilities
multimodal input
code interpretation via tool
computer use via tool
function calling
json mode
streaming
fine tuning
advanced reasoning
vision
web browsing via tool
file search via tool
Supported Data Types
Input Types
text
image
Output Types
text
json
Strengths & Weaknesses
Exceptional at
general reasoning
multimodal understanding
instruction following
Good at
code generation
vision tasks
Additional Information
Latest Update
Nov 20, 2024
Knowledge Cutoff
Oct 1, 2023