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
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
| Type | Price information |
|---|---|
| Input | USD 3.2 / 1M tokens |
| Output | USD 19.2 / 1M tokens |
| Cached input | USD 0.32 / 1M tokens |
| Audio input | USD 25.6 / 1M tokens |
| Audio output | USD 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
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.
GPT-Realtime-2.1 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| GPT-Realtime-2.1This page | USD 3.2 / 1M tokens | USD 19.2 / 1M tokens | 128,000 | Audio output · Reasoning · Tool calling |
| Gemini 3.5 Live Translate Preview | USD 2.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokens | USD 16.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokens | 131,072 | Audio output |
| Gemini 3.1 Flash Live Preview | USD 0.6 / 1M tokens | USD 3.6 / 1M tokens | 131,072 | Audio output · Reasoning · Tool calling |
| Lyria 3 Clip Preview | — | USD 0.032 / song · 30 seconds per song | 131,072 | Audio output |
| Lyria 3 Pro Preview | — | USD 0.064 / song · Maximum input 131072 tokens | 131,072 | Audio 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.
Related models
No related catalog models are recorded for this model family.