o3-mini

by OpenAIText

o3-mini is available through TTAPI. OpenAI chat models through one familiar, OpenAI-compatible endpoint.

InputPromptmessages
Models21available
FlowSyncresult URL
Price20% offofficial
o3-miniExample conversation
You

Review a TypeScript webhook handler for reliability risks and propose the highest-value fixes. Keep the answer practical for a o3-mini integration.

o3-mini logo
o3-mini

Verify signatures against the raw body, reject stale events, deduplicate by event ID, acknowledge quickly, and move slow work to a retried background queue. This example is tailored to the o3-mini model page.

Examples

A request and response, in context

01 · Code reviewo3-mini
You

Review a TypeScript webhook handler for reliability risks and propose the highest-value fixes. Keep the answer practical for a o3-mini integration.

o3-mini logo
o3-mini

Verify signatures against the raw body, reject stale events, deduplicate by event ID, acknowledge quickly, and move slow work to a retried background queue. This example is tailored to the o3-mini model page.

02 · Query designo3-mini
You

Explain how to choose indexes for a job table filtered by owner, status, and creation time. Keep the answer practical for a o3-mini integration.

o3-mini logo
o3-mini

Begin from the most common filter order, use a composite index that supports the leading predicates, measure the actual query plan, and retain a simple retention strategy for old rows. This example is tailored to the o3-mini model page.

03 · Product briefo3-mini
You

Summarize a product brief for a developer API in five concise bullets. Keep the answer practical for a o3-mini integration.

o3-mini logo
o3-mini

Cover the customer problem, primary workflow, integration surface, pricing or quota rule, and the measurable outcome that defines adoption. This example is tailored to the o3-mini model page.

Capabilities

What you can build with o3-mini

Prompt driven generation

Submit a concise prompt and get production-ready responses output through one TTAPI job.

Core controls only

Keep integration simple with prompt, model, output settings, and callback handling.

Async result flow

Use polling or webhook callbacks so long-running generations do not block your UI.

Ready for product UI

Return ChatGPT results that can be displayed, stored, or passed into downstream workflows.

Pricing

Token billing rules

One key and one balance across supported text models.

Token billing ruleOfficial pricing
PlatformTTAPI billing
OpenAI20% off official pricing
API request

Headers and submit parameters

Use the endpoint below with your TTAPI key and the request fields shown.

POSThttps://api.ttapi.io/v1/chat/completions

Headers

Authorizationstringrequired

Your TTAPI API key.

Content-Typestringrequired

Use application/json.

Body

modelstringrequired

Supported model identifier.

messagesarrayrequired

OpenAI-compatible chat messages.

temperaturenumberoptional

Sampling temperature.

max_tokensintegeroptional

Maximum output tokens.

streambooleanoptional

Enable server-sent event streaming.

Open the official TTAPI documentation
Integrate

From key to first result

Copy the resolved endpoint, authentication headers, and request body for this model.

curl --request POST \
  --url https://api.ttapi.io/v1/chat/completions \
  --header 'Authorization: Bearer $TTAPI_KEY' \
  --header 'Content-Type: application/json' \
  --data '{"model":"o3-mini","messages":[{"role":"user","content":"Design a reliable retry strategy."}],"stream":false}'