Moduck

OpenAI: GPT-5.1 Codex mini

Coding-optimized GPT model for repository edits, reviews, and agentic software work

Model lab
OpenAI
Model family
gpt-codex
Modalitiestext, image → text
Context window400,000
Maximum output128,000
InputUSD 0.2 / 1M tokens
OutputUSD 1.6 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to openai/gpt-5.1-codex-mini.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "openai/gpt-5.1-codex-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-5.1 Codex mini API Pricing

TypePrice information
InputUSD 0.2 / 1M tokens
OutputUSD 1.6 / 1M tokens
Cached inputUSD 0.02 / 1M tokens

Benchmarks

High

Intelligence Index · v4.320.4
Coding Index—
Agentic Index—

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement · High

Output speed170.42 tokens/s
Time to first token9.3 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
High170.42 tokens/s9.3 s——

Performance trends

Throughput170.42 tok/sCurrent
Time to first token9.3 sCurrent
End-to-end latency7.9 sCurrent
Throughput
Current170.42 tok/s
Window average173.4 tok/s
Time to first token
Current9.3 s
Window average10.6 s
End-to-end latency
Current7.9 s
Window average7.5 s
Tail latency (P99)
Current13.2 s
Window average16.5 s
Prompt cache hit rate
Current31.2%
Window average22.5%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

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-5.1 Codex mini Compare models

ModelInput priceOutput priceContext windowCapabilities
GPT-5.1 Codex miniThis pageUSD 0.2 / 1M tokensUSD 1.6 / 1M tokens400,000Text output · Reasoning · Tool calling
GPT-5.2 ChatUSD 1.4 / 1M tokensUSD 11.2 / 1M tokens128,000Text output · Reasoning · Tool calling
GPT-5.1 ChatUSD 1 / 1M tokensUSD 8 / 1M tokens128,000Text output · Reasoning · Tool calling
GPT-5.1 CodexUSD 1 / 1M tokensUSD 8 / 1M tokens400,000Text output · Reasoning · Tool calling
GPT-5.1 Codex MaxUSD 1 / 1M tokensUSD 8 / 1M tokens400,000Text output · Reasoning · Tool calling

Model specifications

Input
text, image
Output
text
Context window
400,000
Maximum input
272,000
Maximum output
128,000
Release date
2025-11-13
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
No
Open weights
No

Frequently asked questions

What is GPT-5.1 Codex mini for?

Coding-optimized GPT model for repository edits, reviews, and agentic software work

What inputs and outputs does GPT-5.1 Codex mini support?

Recorded inputs: text, images; outputs: text.

How is GPT-5.1 Codex mini priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.2 / 1M tokens; Output USD 1.6 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GPT-5.1 Codex mini?

Current model records list Context window 400,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses openai/gpt-5.1-codex-mini. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

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.