GPT Realtime 2.1 Mini API Pricing
As of October 10, 2026, GPT Realtime 2.1 Mini costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on OpenAI, with cache reads at $0.06 per 1M tokens. It has a 128,000-token context window and returns up to 32,000 tokens per response.
- Input
- $0.60 / 1M tokens
- Output
- $2.40 / 1M tokens
- Cache read
- $0.06 / 1M tokens
- Context window
- 128,000 tokens
- Max output
- 32,000 tokens
- Providers
- 2
- Added to LiteLLM
- July 8, 2026
GPT Realtime 2.1 Mini pricing by provider
2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| OpenAI | gpt-realtime-2.1-mini | $0.60 | $2.40 | $0.06 | 128K |
| Azure OpenAI | azure/gpt-realtime-2.1-mini | $0.60 | $2.40 | $0.06 | 32K |
Other GPT Realtime 2.1 Mini prices on OpenAI
| Audio input | $10.00 per 1M tokens |
| Audio output | $20.00 per 1M tokens |
What GPT Realtime 2.1 Mini costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| OpenAI | $2.40 |
| Azure OpenAI | $2.40 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| OpenAI | $6.48 |
| Azure OpenAI | $6.48 |
GPT Realtime 2.1 Mini features
Input: text, image, audio. Output: text, audio.
- Function calling
- Parallel tool calls
- Audio input
- Audio output
Use GPT Realtime 2.1 Mini with LiteLLM
Call GPT Realtime 2.1 Mini through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/realtime. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="gpt-realtime-2.1-mini",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: gpt-realtime-2.1-mini
litellm_params:
model: gpt-realtime-2.1-mini
api_key: os.environ/OPENAI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "gpt-realtime-2.1-mini",
"messages": [{"role": "user", "content": "Hello!"}]
}'GPT Realtime 2.1 Mini FAQ
How much does GPT Realtime 2.1 Mini cost?
GPT Realtime 2.1 Mini costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on OpenAI, with cache reads at $0.06 per 1M tokens.
What is the context window of GPT Realtime 2.1 Mini?
GPT Realtime 2.1 Mini has a 128,000-token context window and returns up to 32,000 tokens per response.
Which providers offer GPT Realtime 2.1 Mini?
GPT Realtime 2.1 Mini is available from 2 providers through LiteLLM: OpenAI and Azure OpenAI.
How do I call GPT Realtime 2.1 Mini with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="gpt-realtime-2.1-mini", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/realtime from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does GPT Realtime 2.1 Mini support?
GPT Realtime 2.1 Mini supports function calling, parallel tool calls, audio input and audio output.
When did LiteLLM add GPT Realtime 2.1 Mini?
GPT Realtime 2.1 Mini was added to LiteLLM's model price file on July 8, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
- developers.openai.com/api/docs/pricing
- learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-schedule
LiteLLM docs: OpenAI, Azure OpenAI.
Provider pages: OpenAI, Azure OpenAI.
