GPT-4o (2024-08-06) — OpenAI | Modeldex

GPT-4o (2024-08-06)

Active

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...

Updated 4 days agoStructured data from Modeldex catalog

VisionAgentic

Knowledge cutoff

Oct 31, 2023(2.5 years ago)

API release

Aug 6, 2024(1.7 years ago)

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

Overview

History

GPT-4o (2024-08-06) became available via the OpenAI API on 2024-08-06.

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, file.

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-2024-08-06",
    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
OpenAI	37tok/s	532ms	$2.5	$10	128K	—	tools · json
Azure	25tok/s	614ms	$2.5	$10	128K	—	tools · json

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Premium pricing

Priced like a frontier model. Quality tier pending more benchmark coverage.

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

Community ratings

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