GPT-6 Sol Text generation API

openai / gpt-6-sol

An OpenAI model for coding and long-context text-and-image reasoning.

Use openai/gpt-6-sol through the sjolt LLM API.

Model IDopenai/gpt-6-sol
Input
TextImage
Output
Text
Pricing

Token rates

Input
$0.6 / 1M tokens
Cache read
$0.06 / 1M tokens
Cache write
$0.75 / 1M tokens
Output
$3 / 1M tokens
GPT-6 Solopenai/gpt-6-sol

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Model overview

GPT-6 Sol for coding and long-context work

Build and refine software with room for large working sets, visual inputs, and deliberate reasoning.

GPT-6 Sol text generation model cover
01 · Text generation

Build across complex codebases

Work through implementation tasks, review changes, and iterate on code with a focused coding workflow.

  • Send one required user prompt with optional system instructions.
  • Review the exact non-streaming OpenAI Chat request before running it.
  • Inspect assistant text, finish reason, response ID, and token usage together.
GPT-6 Sol long-context text generation model cover
02 · Input and output

Keep the full context in view

Bring up to 1,050,000 tokens of context into one request for connected analysis across large documents and repositories.

Input
TextImage
Output
Text
GPT-6 Sol API compatibility model cover
03 · API integration

Choose your reasoning depth

Select low, medium, high, xhigh, or max reasoning effort to fit the task.

  • Compare enabled DeepSeek text models in one place.
  • Copy the request preview to keep application requests aligned with the Playground.
  • Handle assistant responses and provider availability states in the same workflow.

Model characteristics

Better for creative validation than isolated one-off generation.

01

Workflow focus

Coding, long-context analysis, and text-and-image reasoning.

02

Context window

Up to 1,050,000 context tokens.

03

Maximum API output

Up to 128,000 tokens.

04

Reasoning control

Reasoning stays enabled on this route; low, medium, high, xhigh, and max efforts are available, with medium as the default.

FAQ

These are the first questions to answer when evaluating this model.

What is GPT-6 Sol suited to?

It is suited to coding, complex analysis, and long-context tasks with text or image inputs.

How do I control reasoning?

Select low, medium, high, xhigh, or max effort. Reasoning stays enabled on this route, and medium is the default.

How much context and output can I use?

The model has a 1,050,000-token context window, with up to 922,000 input tokens and 128,000 output tokens.

Which API formats are available?

Use OpenAI-compatible Chat Completions or Responses through the sjolt LLM API.