Moduck

OpenAI: GPT-Realtime-2.1

Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior

Model lab
OpenAI
Model family
gpt
Modalitiestext, audio, image → text, audio
Context window128,000
Maximum output32,000
InputUSD 3.2 / 1M tokens
OutputUSD 19.2 / 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-realtime-2.1.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "openai/gpt-realtime-2.1"

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-Realtime-2.1 API Pricing

TypePrice information
InputUSD 3.2 / 1M tokens
OutputUSD 19.2 / 1M tokens
Cached inputUSD 0.32 / 1M tokens
Audio inputUSD 25.6 / 1M tokens
Audio outputUSD 51.2 / 1M tokens

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.

Performance trends

Audio throughput1.4 audio min/minCurrent
Queue wait0.5 sCurrent
Completion time9.5 sCurrent
Audio throughput
Current1.4 audio min/min
Window average1.5 audio min/min
Queue wait
Current0.5 s
Window average0.5 s
Completion time
Current9.5 s
Window average8.9 s
Tail completion time (P99)
Current18.9 s
Window average18.2 s
Retry rate
Current0.7%
Window average1.1%
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-Realtime-2.1 Compare models

ModelInput priceOutput priceContext windowCapabilities
GPT-Realtime-2.1This pageUSD 3.2 / 1M tokensUSD 19.2 / 1M tokens128,000Audio output · Reasoning · Tool calling
Gemini 3.5 Live Translate PreviewUSD 2.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokensUSD 16.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokens131,072Audio output
Gemini 3.1 Flash Live PreviewUSD 0.6 / 1M tokensUSD 3.6 / 1M tokens131,072Audio output · Reasoning · Tool calling
Lyria 3 Clip Preview—USD 0.032 / song · 30 seconds per song131,072Audio output
Lyria 3 Pro Preview—USD 0.064 / song · Maximum input 131072 tokens131,072Audio output

Model specifications

Input
text, audio, image
Output
text, audio
Context window
128,000
Maximum input
96,000
Maximum output
32,000
Release date
2026-07-06
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
No
Temperature setting
No
Open weights
No

Frequently asked questions

What is GPT-Realtime-2.1 for?

Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior

What inputs and outputs does GPT-Realtime-2.1 support?

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

How is GPT-Realtime-2.1 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 3.2 / 1M tokens; Output USD 19.2 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GPT-Realtime-2.1?

Current model records list Context window 128,000 tokens; Maximum output 32,000 tokens.

What model parameter does the Quickstart use?

The example uses openai/gpt-realtime-2.1. 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.