GPT-4o — OpenAI | Modeldex

GPT-4o

Active

Fast, multimodal model for general use with 128k context.

Updated 4 days agoStructured data from Modeldex catalog

VisionAgentic

Knowledge cutoff

Oct 31, 2023(2.5 years ago)

API release

May 13, 2024(1.9 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

GPT-4o (omni) is a widely used general-purpose multimodal model supporting text, image, and audio inputs. Tool calling and structured outputs are fully supported.

History

GPT-4o became available via the OpenAI API on 2024-05-13.

Training & availability

Training data has a knowledge cutoff of 2023-10-31 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 128K tokens.
Max output: 16K tokens.
Input modalities: text, image, audio.

Recommended for: vision, agentic.

Limitations

The knowledge cutoff is 30 months old — this model will not know about recent events, releases, or API changes.

Pricing

Input: $2.5000 per 1M tokens
Output: $10.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the openai API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $2.5/1M

Output tokens / month2.0M

@ $10/1M

Input cost

$12.5

5.0M × $2.5/1M

Output cost

$20

2.0M × $10/1M

Total / month

$32.5

$390 / year

Providers & performance

2 providers

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
Azure	80tok/s	907ms	$2.5	$10	128K	—	tools · json
OpenAI	63tok/s	508ms	$2.5	$10	128K	—	tools · json

Benchmarks

Benchmark	Score	Source
Aider PolyglotCoding	3.6% pass@2	Third-party Papers With Code
Arena Hard AutoHuman preference	79.21% win rate	Third-party Papers With Code

Integrations & tooling support

Tool calling: Supported
Structured outputs: Supported

Price vs quality

Poor value

Below-average benchmark performance for the price.

Quality percentile: 0%
Effective price: $8.13/1M
Pricing breakdown: $2.5/1M in
$10/1M out

Community ratings

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