gpt-6.1-sol

Model IDgpt-6.1-sol

OpenAI
Language

Chat and reasoning through the OpenAI-compatible chat API.

Call this model API quickstart

Overview

Model developer: OpenAI
Supported protocols: openai
openai-response

Call this model

Create an API key, add account credit, and confirm this model is available to your key before sending a request.

This example uses the configured OpenAI-compatible chat endpoint. Keep SCENEPOND_API_KEY in your server environment.

1curl "https://open.scenepond.ai/v1/chat/completions" \
2  -H "Authorization: Bearer $SCENEPOND_API_KEY" \
3  -H "Content-Type: application/json" \
4  --data-binary @- <<'JSON'
5{
6  "model": "gpt-6.1-sol",
7  "messages": [
8    {
9      "role": "user",
10      "content": "Hello!"
11    }
12  ],
13  "stream": false
14}
15JSON

Run this example in a shell with cURL installed. Set SCENEPOND_API_KEY before running.

Other listed protocols can require different endpoints and request schemas. The example above covers only its named protocol.

Use it in your application

Connect an enabled chat model to Hermes Agent, OpenClaw, or DeepSeek Harness. Tool use, images, and reasoning depend on the model and its configured protocol.

Hermes Agent

Use Scenepond as the model provider for your Hermes agent.

Agent runtimeSetup guide

OpenClaw

Connect your personal assistant to an enabled model through a custom provider.

Personal assistantSetup guide

DeepSeek Harness

Add Scenepond as a custom model API for coding and repository tasks.

Coding agentSetup guide

All integrations

Model access and request limits depend on your account, API key, and service configuration.

Pricing

InputUSD 2 / 1 million tokensOutputUSD 10 / 1 million tokensCache ReadUSD 0.1 / 1 million tokensCache WriteUSD 2.5 / 1 million tokens2 tiers

Prices by period

USD / 1 million tokens
Price tier	Input	Output
standard	2	10
long context	4	15

Get an API key Add funds

Prices depend on model settings. Usage records show recorded deductions; asynchronous task charges may be adjusted after completion.

Call this model

Create an API key, add account credit, and confirm this model is available to your key before sending a request.

This example uses the configured OpenAI-compatible chat endpoint. Keep SCENEPOND_API_KEY in your server environment.

1curl "https://open.scenepond.ai/v1/chat/completions" \
2  -H "Authorization: Bearer $SCENEPOND_API_KEY" \
3  -H "Content-Type: application/json" \
4  --data-binary @- <<'JSON'
5{
6  "model": "gpt-6.1-sol",
7  "messages": [
8    {
9      "role": "user",
10      "content": "Hello!"
11    }
12  ],
13  "stream": false
14}
15JSON

Run this example in a shell with cURL installed. Set SCENEPOND_API_KEY before running.

Other listed protocols can require different endpoints and request schemas. The example above covers only its named protocol.