Does gpt-realtime-mini have a free tier?

GPT-Realtime Mini is billed per use and the record publishes no free-tier allowance. The current published rates are input $75.0000 per 1M tokens and output $150.0000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

What is the context window of GPT-Realtime Mini?

GPT-Realtime Mini has a 32,000-token context window optimized for real-time voice interactions.

What is the rate limit for gpt-realtime-mini?

gpt-realtime-mini rate limits vary by your MixRoute subscription plan. Check your plan details in the console for requests per minute (RPM) and tokens per minute (TPM) limits. Run a small load test before production to confirm your effective quota.

How do you get a cache hit on gpt-realtime-mini?

To get a cache hit on gpt-realtime-mini, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.

How should you set the output budget for gpt-realtime-mini?

For gpt-realtime-mini, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

Does GPT-Realtime Mini support streaming output?

Yes. GPT-Realtime Mini is declared as supporting streamed responses.

Can you call GPT-Realtime Mini with the OpenAI SDK you already use?

Yes. GPT-Realtime Mini is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to gpt-realtime-mini . Keep your current request and response handling.

Model detail

GPT-Realtime Mini

Provided by OpenAI

Pay-as-you-go

An economical realtime OpenAI model for responsive audio and text conversations over WebRTC, WebSocket, or SIP.

Model specs

Model ID: gpt-realtime-mini

Context length: 32K
Max output: 4.096K
I/O modalities
Released: 2025-10

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$75.0000 /1M Tokens

Completion

$150.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

An economical realtime OpenAI model for responsive audio

An economical realtime OpenAI model for responsive audio and text conversations over WebRTC, WebSocket, or SIP.

What should you check before using it?

Confirm audio formats, sample rates, and pricing

OpenAI model that supports tool calling, streaming, prompt caching, vision input and the OpenAI SDK. Knowledge cutoff: 2023-10-01. Released 2025-10-06.

Why use it through MixRoute?

GPT-Realtime Mini cache reads cut repeated-prompt cost

Cached prefixes are billed at 0.30 USD per 1M tokens instead of 10.00 USD, so repeated system prompts cost less. MixRoute serves GPT-Realtime Mini on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-realtime-mini and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-Realtime Mini supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Streaming

GPT-Realtime Mini supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

GPT-Realtime Mini supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

GPT-Realtime Mini can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call GPT-Realtime Mini through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 32K

Output tokens Max per request 4.096K

Requests / month

Cache hit rate –

This model has no cache-read price; caching is not counted

FAQ

GPT-Realtime Mini: An economical realtime OpenAI model for responsive audio and text conversations over WebRTC, WebSocket, or SIP.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

gpt-realtime-mini

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs