OpenAI: GPT-4o mini

Small omni GPT for cheap multimodal assistance and production-scale traffic

Model lab: OpenAI
Model family: gpt-mini

Modalitiestext, image, pdf → text

Context window128,000

Maximum output16,384

InputUSD 0.06 / 1M tokens

OutputUSD 0.24 / 1M tokens

Try now View docs

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/openai/gpt-4o-mini.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/openai/gpt-4o-mini"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

GPT-4o mini API Pricing

Type	Price information
Input	USD 0.06 / 1M tokens
Output	USD 0.24 / 1M tokens
Cached input	USD 0.03 / 1M tokens

Benchmarks

Intelligence Index · v4.36.7

Coding Index11.4

Agentic Index—

Benchmark	Score	Measurement	Source
Aider Polyglot	3.6	percent correct · Date: 2024-12-21
SciCode	22.9	percent correct · Date: 2026-03-11

Performance

Output speed114.12 tokens/s

Time to first token0.94 s

Time to first answer token—

End-to-end response time—

Performance trends

Throughput114.12 tok/sCurrent

Time to first token0.94 sCurrent

End-to-end latency7.9 sCurrent

Throughput

Current114.12 tok/s

Window average115.4 tok/s

Time to first token

Current0.94 s

Window average1.0 s

End-to-end latency

Current7.9 s

Window average7.5 s

Tail latency (P99)

Current16.8 s

Window average16.6 s

Prompt cache hit rate

Current19.1%

Window average22.6%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

GPT-4o mini Compare models

Model	Input price	Output price	Context window	Capabilities
GPT-4o miniThis page	USD 0.06 / 1M tokens	USD 0.24 / 1M tokens	128,000	Text output · Tool calling
GPT-4.1 mini	USD 0.32 / 1M tokens	USD 1.28 / 1M tokens	1,047,576	Text output · Tool calling
GPT-5.4 mini	USD 0.6 / 1M tokens	USD 3.6 / 1M tokens	400,000	Text output · Reasoning · Tool calling
GPT-5 Mini	USD 0.1 / 1M tokens · Service tier flex	USD 0.8 / 1M tokens · Service tier flex	400,000	Text output · Reasoning · Tool calling
GPT-6.1 Sol	USD 1.6 / 1M tokens	USD 8 / 1M tokens	1,050,000	Text output · Reasoning · Tool calling

Model specifications

Input: text, image, pdf
Output: text
Context window: 128,000
Maximum output: 16,384
Release date: 2024-07-18
Attachments: Yes
Reasoning: No
Tool calling: Yes
Structured output: Yes
Temperature setting: Yes
Open weights: No

Frequently asked questions

What is GPT-4o mini for?

Small omni GPT for cheap multimodal assistance and production-scale traffic

What inputs and outputs does GPT-4o mini support?

Recorded inputs: text, images, PDF; outputs: text.

How is GPT-4o mini priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.06 / 1M tokens; Output USD 0.24 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GPT-4o mini?

Current model records list Context window 128,000 tokens; Maximum output 16,384 tokens.

What model parameter does the Quickstart use?

The example uses moduck/openai/gpt-4o-mini. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.