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LLMS • CURATED • UPDATED JUL 9, 2026

GPT-5.6 Sol

OpenAI's top-tier model for complex professional work

GPT-5.6 Sol is the highest-capability model in OpenAI's GPT-5.6 family, released July 9, 2026 after a limited preview starting June 26. It has a 1.05M-token context window with up to 128K output tokens, and is positioned for complex professional work: advanced coding, scientific and technical reasoning, long-document analysis, computer use, and multistep agent workflows. It sits alongside the cheaper Terra and Luna tiers in the same family: Sol is $5 input and $30 output per million tokens, Terra $2.50 and $15, Luna $1 and $6, and on July 30, 2026 OpenAI cut Luna's price by 80% and Terra's by 20%. Free and Go users of ChatGPT get Terra; paid users choose any of the three and set effort per model.

Pricing Paid
Platforms web, api
API No
Open Source No
Modalities LLMs, IDEs & Coding Tools
Best For Best for Professional-Grade Reasoning
Date Added 2026-07-09

Sol ranks third overall on the Artificial Analysis Intelligence Index at 58.9, behind Claude Opus 5 and Claude Fable 5, a genuine top-tier frontier model rather than an incremental update, and OpenAI's clear flagship pick for the hardest professional-grade tasks.

Access GPT-5.6 Sol via the OpenAI API. Standard short-context pricing is $5/M input and $30/M output tokens; requests above 272K input tokens are billed at $10/M input and $45/M output for the full request. Reserve Sol for your hardest tasks and use the cheaper Terra or Luna tiers for everyday work to control cost.

1 Route routine tasks to Terra or Luna and reserve Sol for genuinely hard problems
2 Watch the 272K-token threshold, pricing jumps significantly above it
3 Use the full 1.05M context window for whole-codebase or whole-document analysis
4 Take advantage of computer-use support for browser/desktop automation tasks
5 Structure multistep agent workflows to checkpoint progress given the task complexity it's built for
Google Antigravity 2.0 Claude Fable 5 NotebookLM Claude Opus 5 Cursor 2.0

Whole-Codebase Technical Analysis

Analyze and refactor a large codebase using the full context window.

STEPS:
  1. Load the relevant codebase into context
  2. Ask for an architecture-level review
  3. Request specific refactor recommendations
  4. Review and approve changes incrementally
  5. Run tests and iterate on failures

Multistep Research Agent

Run a long, multi-tool research and synthesis workflow.

STEPS:
  1. Define the research question and constraints
  2. Let Sol plan a multistep approach
  3. Execute tool calls for retrieval and analysis
  4. Synthesize findings into a structured report
  5. Verify key claims before finalizing
Paid

Requires a paid subscription.

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Compare GPT-5.6 Sol with 5+ similar llms AI tools.

Q

Is GPT-5.6 Sol free?

A

No, GPT-5.6 Sol requires a paid subscription.

Q

Does GPT-5.6 Sol have an API?

A

No, GPT-5.6 Sol does not appear to offer a public API.

Q

What is GPT-5.6 Sol best for?

A

GPT-5.6 Sol is best for Best for Professional-Grade Reasoning. GPT-5. Sol ranks third overall on the Artificial Analysis Intelligence Index at 58.9, behind Claude Opus 5 and Claude Fable 5, a genuine top-tier frontier model rather than an incremental update, and OpenAI's clear flagship pick for the hardest professional-grade tasks.

Q

What platforms does GPT-5.6 Sol support?

A

GPT-5.6 Sol supports web, api.

Q

Is GPT-5.6 Sol open source?

A

No, GPT-5.6 Sol is not open source.

Q

How do I get started with GPT-5.6 Sol?

A

Access GPT-5.6 Sol via the OpenAI API. Standard short-context pricing is $5/M input and $30/M output tokens; requests above 272K input tokens are billed at $10/M input and $45/M output for the full request. Reserve Sol for your hardest tasks and use the cheaper Terra or Luna tiers for everyday work ...

Q

How do I use GPT-5.6 Sol?

A

GPT-5.6 Sol is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at #2 overall on the artificial analysis intelligence index (58.9%).

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