OpenAI GPT-6 Sol

LLM
OpenAI
New

OpenAI GPT-6 Sol is designed for complex professional work including coding, knowledge work, and agentic tasks. It supports text and image input, a 1,050,000 token context window, and 128,000 max output tokens.

Context tokens

1,050,000

Output tokens

128,000

Training cutoff

Apr 20, 2026

Released

Sep 22, 2026

Schema

Reasoning effort defaults to medium; you can also select none, low, high, xhigh, or max to trade off depth against speed.

Schema documentation

Capabilities

Tool use
Structured output
Thinking
Effort: none · low · medium · high · xhigh · max
OpenAI API
Multimodal
Image gen (tool)

Supported input media

image
text

Supported tools

  • Image Generation

    The image generation tool allows you to generate images using a text prompt, and optionally image inputs. It leverages the GPT Image model, and automatically optimizes text inputs for improved performance.

    Costs ~558.60 credits per image.

  • MCP

    You can give models new capabilities using connectors and remote MCP servers. These tools give the model the ability to connect to and control external services when needed to respond to a user's prompt. These tool calls can either be allowed automatically, or restricted with explicit approval required by you as the developer.

  • Seclai Content Tools

    Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

  • Seclai Knowledge Base

    Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

  • Seclai Memory Banks

    Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.

  • Seclai Web Tools

    Fetch web pages and search the web from within agent prompt calls. Includes seclai_web_fetch for retrieving page content in markdown, HTML, or plain text, and seclai_web_search for finding relevant pages with content snippets.

  • Web Search

    Web search allows models to access up-to-date information from the internet and provide answers with sourced citations. To enable this, use the web search tool in the Responses API or, in some cases, Chat Completions.

Variants

Context Window

Support for longer context windows.

OptionDescriptionInput credits (per 1k tokens)Output credits (per 1k tokens)Cache write (30m) credits (per 1k tokens)Cache hit credits (per 1k tokens)
Less than 272K ContextContext windows of 272,000 tokens or fewer.26.60133.0033.252.66
Over 272K InputRequests with more than 272,000 input tokens, on tiers the vendor prices for long context.53.20199.5066.505.32

Try This Model

Write a prompt and experiment with OpenAI GPT-6 Sol in the model experiments page. You can compare it with other models side by side.