OpenAI
Released November 20, 2024Cutoff October 2023

GPT-4o

GPT-4o is OpenAI's flagship model that reasons across text, audio, and vision in real time, using one end-to-end network instead of separate voice pipelines.

Inputs
Text
Image
File
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

GPT-4o - A Single Model Reasoning Across Text, Vision, and Audio

GPT-4o, where o stands for omni, is described by OpenAI as a step toward more natural human-computer interaction. It is built around one model that handles text, vision, and audio together, rather than stitching several models into a pipeline.

TraitDetail
Defining architectureA single neural network trained end-to-end across text, vision, and audio, so one model processes every input and output instead of passing data between separate models.
Omni input and output rangeAccepts any combination of text, audio, image, and video as input, and generates any combination of text, audio, and image as output.
Real-time conversational speedResponds to audio input at a speed close to human conversational response time, replacing the noticeably longer delays of earlier voice setups.
Voice-specific safety systemsBuilt with safety systems specifically designed to guardrail voice outputs, alongside safety measures applied across its other modalities.

Replacing a Three-Model Voice Pipeline

Before GPT-4o, ChatGPT's Voice Mode worked as a pipeline of three separate models: one transcribed audio to text, another generated a text reply, and a third converted that text back to speech. This chain could not observe tone, multiple speakers, or background noise, and could not output laughter, singing, or emotion. GPT-4o replaces this with one model trained across all of these modalities at once.

Benchmark Performance

Independent evaluations · Artificial Analysis

8.4%
Intelligence
24.2%
Coding Index

Accuracy & Capability Details

GPQA - Graduate Science54.3%
Humanity's Last Exam2.4%
SciCode - Scientific Coding33.3%
Instruction Following34.3%
Long Context Reasoning49.3%
τ²-Bench - Agentic Tasks25.1%
TerminalBench - System Control8.3%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateNovember 20, 2024September 22, 2026September 28, 2026
Knowledge CutoffOct 2023-Jun 2026
Context & Limits
Context Window128K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing$2.50$4
$2
Best Input Pricing
Output Pricing
$10
Best Output Pricing
$20
$10
Best Output Pricing
Modalities
Inputs
textimagefile
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index8.4
57.6
Best Intelligence Index
56.0
Coding Index24.2--
Agentic Index---
GPT-4o
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

2%
GPT-4o
Humanity's Last Exam
Score: 2%
GPT-4o
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

49%
GPT-4o
Long Context Reasoning
Score: 49%
GPT-4o
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

33%
GPT-4o
SciCode Benchmark
Score: 33%
GPT-4o
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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