# OpenAI Releases GPT-5.6 Three-Tier Model Family

> OpenAI has broadened its lineup with GPT-5.6, a family of three models aimed at different tradeoffs between smarts, speed, and price. Sol is the flagship for hard reasoning at $5 per million input tokens and $30 for output, Terra matches the older GPT-5.5 at roughly half the cost, and Luna is the cheap, fast option at $1 and $6. All three share a one-million-token context window, can return up to 128,000 tokens, and carry a February 2026 knowledge cutoff. The headline number is speed. Sol reportedly generates up to 750 tokens per second thanks to an integration with Cerebras, the wafer-scale chip maker, which is fast enough to make agentic and coding workflows feel far less sluggish. OpenAI ran a limited preview from June 26 with about 20 government-approved organizations before opening access more widely on July 9. The release underscores where the frontier race is heading. Raw capability alone no longer wins, and labs are now competing on how quickly and cheaply they can deliver it. Pairing a model with specialized inference hardware is becoming almost as important as the model itself.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: OpenAI · Published Monday, July 13, 2026_

## Wortins' read

OpenAI has broadened its lineup with GPT-5.6, a family of three models aimed at different tradeoffs between smarts, speed, and price. Sol is the flagship for hard reasoning at $5 per million input tokens and $30 for output, Terra matches the older GPT-5.5 at roughly half the cost, and Luna is the cheap, fast option at $1 and $6. All three share a one-million-token context window, can return up to 128,000 tokens, and carry a February 2026 knowledge cutoff. The headline number is speed. Sol reportedly generates up to 750 tokens per second thanks to an integration with Cerebras, the wafer-scale chip maker, which is fast enough to make agentic and coding workflows feel far less sluggish. OpenAI ran a limited preview from June 26 with about 20 government-approved organizations before opening access more widely on July 9. The release underscores where the frontier race is heading. Raw capability alone no longer wins, and labs are now competing on how quickly and cheaply they can deliver it. Pairing a model with specialized inference hardware is becoming almost as important as the model itself.

## Source

[Read the full story at OpenAI](https://openai.com/index/previewing-gpt-5-6-sol/)

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