Endpoint coverage
Exposes 1 public endpoint(s): response.
GPT-5 Pro for analysis and coding through the Responses API
# Base URL
https://runapi.ai
# Endpoints
POST /v1/responses
curl https://runapi.ai/v1/responses \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-pro",
"input": "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."
}'
from openai import OpenAI
client = OpenAI(
base_url="https://runapi.ai/v1",
api_key="your-runapi-key"
)
response = client.responses.create(
model="gpt-5-pro",
input="Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."
)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://runapi.ai/v1",
apiKey: "your-runapi-key"
});
const response = await client.responses.create({
model: "gpt-5-pro",
input: "Analyze this quarterly revenue data and produce a summary with key trends, anomalies, and three recommendations."
});
21 versions available
Pick any model and generate in seconds.
| Provider | OpenAI |
| Model ID | gpt-5-pro |
| Modality | Text |
| Task types | Synchronous |
| API endpoint | /v1/responses |
| Billing unit | 1K tokens |
| Catalog status | Operational |
Sign up for free and create an API key for gpt-5-pro from the dashboard.
POST to /v1/responses with the gpt-5-pro model slug and your parameters.
Read the completed gpt-5-pro response directly from the endpoint.
Exposes 1 public endpoint(s): response.
Metered by 1K tokens with no subscription requirement.
No request parameters are published for this endpoint.
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Pass the model ID shown in the quickstart.
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
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