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Large Language ModelsAI Business & IndustryTHE DECODERPublished: Jul 1, 2026, 22:00 JST1 min read

OpenAI unveils three-tier Pro models for ChatGPT in benchmark paper

OpenAI unveils three-tier Pro models for ChatGPT in benchmark paper

Key takeaway

  • OpenAI's new benchmark paper reveals it is testing three Pro variants of its GPT-5.6 models—a first for ChatGPT Pro, which has historically been a single top-tier offering.

  • The strongest variant, Sol Pro, achieved a 31.5 percent pass rate on the genomics benchmark, outperforming both its standard counterpart and Claude Opus 4.8.

  • This shift would let users select Pro models by speed, throughput, or reasoning power rather than buying a single expensive tier, though it is unclear whether OpenAI will actually release them as a product.

3 Key Points

  1. What happened

    OpenAI's genomics benchmark paper reveals Pro variants of its GPT-5.6 models for the first time—Luna Pro, Terra Pro, and Sol Pro—mirroring the standard three-model lineup. Sol Pro achieved a 31.5 percent pass rate, beating standard Sol at 28.7 percent and Claude Opus 4.8 at 16.0 percent.

  2. Why it matters

    ChatGPT Pro has always been a single top-tier tier above everything else. This three-model structure would let users choose between speed, throughput, and maximum reasoning power based on their needs, fundamentally changing how the Pro subscription works. For businesses, it may offer a middle option (Terra Pro) that performs nearly as well as the standard flagship while handling higher volumes.

  3. What to watch

    The paper reveals the Pro variants only in its benchmark results table; whether this structure will actually ship in ChatGPT remains unclear. OpenAI did not disclose token usage figures for the Pro models, making it impossible to compare their computational cost against the standard tiers.

Ask the AI about this article →

FAQ

How do the Pro models compare to their standard versions?
Luna Pro gains seven percentage points over standard Luna, while Terra Pro reaches 28.5 percent (nearly matching standard Sol at 28.7 percent). Sol Pro gains less than three points over standard Sol, showing that the Pro boost is larger for weaker tiers.
Will these Pro models actually be released in ChatGPT?
It is unclear. The three Pro variants appear only in the benchmark results table; the paper does not confirm they will ship as a product in ChatGPT.

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