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GPT-4o mini - In-Depth Overview

OpenAI · GPT-4o

Current
Latest in family

Model ID: gpt-4o-mini

Get all the details on GPT-4o mini, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as multimodal_input, function_calling, structured_outputs, available API code samples, and performance strengths.

Key Metrics

Input Limit

128K tokens

Output Limit

16.4K tokens

Input Cost

$0.15/1M

Output Cost

$0.60/1M

Sample API Code

from openai import OpenAI;client = OpenAI();response = client.chat.completions.create(model="gpt-4o-mini",messages=[{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello!"}]);print(response.choices[0].message.content)

Required Libraries

openai
openai

Benchmarks

BenchmarkScoreSourceNotes
1269
OpenLLM LeaderboardRank 45
1124
OpenLLM LeaderboardRank 27
961
OpenLLM LeaderboardRank 11 (api-gpt-4o-mini-search)
43.41
LiveBench-
25.64
LiveBench-
55.02
LiveBench-
38.05
LiveBench-
55.10
LiveBench-
29.88
LiveBench-
56.80
LiveBench-
79.7%
Vellum Leaderboard-
87.3%
Vellum Leaderboard-
61%
Vellum Leaderboard-
97.9%
Vellum Leaderboard-
65.12%
Vellum Leaderboard-
60.4%
Vellum Leaderboard-
50%
Vellum Leaderboard-

Notes

GPT-4o mini (“o” for “omni”) is a fast, affordable small model for focused tasks. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is ideal for fine-tuning, and model outputs from a larger model like GPT-4o can be distilled to GPT-4o-mini to produce similar results at lower cost and latency.

Supported Data Types

Input Types

text
image

Output Types

text

Strengths & Weaknesses

Exceptional at

fast
affordable
fine tuning
focused tasks

Good at

text generation
image understanding
structured outputs
function calling

Poor at

audio input
audio output

Additional Information

Latest Update

Jul 18, 2024

Knowledge Cutoff

Oct 1, 2023