Moduck

OpenAI: o3-mini

Smaller o-series reasoner for economical coding, math, and planning tasks

Model lab
OpenAI
Model family
o-mini
Modalitiestext → text
Context window200,000
Maximum output100,000
InputUSD 0.88 / 1M tokens
OutputUSD 3.52 / 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 moduck/openai/o3-mini.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/openai/o3-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.

o3-mini API Pricing

TypePrice information
InputUSD 0.88 / 1M tokens
OutputUSD 3.52 / 1M tokens
Cached inputUSD 0.44 / 1M tokens

Benchmarks

Base model

Intelligence Index · v4.312.5
Coding Index—
Agentic Index—

High

Intelligence Index · v4.311
Coding Index16.3
Agentic Index0.9
BenchmarkScoreMeasurementSource
Aider Polyglot60.4percent correct · Date: 2025-01-31

Performance

Output speed177.72 tokens/s
Time to first token6.22 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
High203.26 tokens/s18.39 s——

Performance trends

Throughput177.72 tok/sCurrent
Time to first token6.22 sCurrent
End-to-end latency7.6 sCurrent
Throughput
Current177.72 tok/s
Window average180.7 tok/s
Time to first token
Current6.22 s
Window average6.3 s
End-to-end latency
Current7.6 s
Window average7.5 s
Tail latency (P99)
Current16.7 s
Window average16.9 s
Prompt cache hit rate
Current18.3%
Window average24.5%
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

o3-mini Compare models

ModelInput priceOutput priceContext windowCapabilities
o3-miniThis pageUSD 0.88 / 1M tokensUSD 3.52 / 1M tokens200,000Text output · Reasoning · Tool calling
o4-miniUSD 0.88 / 1M tokensUSD 3.52 / 1M tokens200,000Text output · Reasoning · Tool calling
GPT OSS Safeguard 20BUSD 0.064 / 1M tokensUSD 0.192 / 1M tokens131,072Text output · Reasoning · Tool calling
GPT OSS Safeguard 120BUSD 0.12 / 1M tokensUSD 0.48 / 1M tokens131,072Text output · Reasoning · Tool calling
GPT OSS 20BUSD 0.0144 / 1M tokensUSD 0.072 / 1M tokens131,072Text output · Reasoning · Tool calling

Model specifications

Input
text
Output
text
Context window
200,000
Maximum output
100,000
Release date
2024-12-20
Attachments
No
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
No
Open weights
No

Frequently asked questions

What is o3-mini for?

Smaller o-series reasoner for economical coding, math, and planning tasks

What inputs and outputs does o3-mini support?

Recorded inputs: text; outputs: text.

How is o3-mini priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.88 / 1M tokens; Output USD 3.52 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for o3-mini?

Current model records list Context window 200,000 tokens; Maximum output 100,000 tokens.

What model parameter does the Quickstart use?

The example uses moduck/openai/o3-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.