OpenAI has released three new reasoning models—Sol, Terra, and Luna—each optimized for different use cases: Sol for cybersecurity tasks, Terra for general-purpose reasoning comparable to GPT-5.5, and Luna for speed and cost efficiency. The models are available in preview with tiered API pricing, allowing developers to choose the right trade-off between performance, capability, and expense for their needs.
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OpenAI introduced three new AI models — Sol, Terra, and Luna — each designed for different tasks. Sol handles secure coding and cybersecurity work, Terra balances performance with GPT-5.5-level capability, and Luna prioritizes speed and low cost. All three are available in preview, with API pricing ranging from 1 token to 100 tokens per input and 6 tokens to 30 tokens per output, depending on the model.
Why it matters
The three models give developers and businesses a choice between speed, safety, and raw capability rather than a one-size-fits-all option. Organizations can now pick Sol for security-sensitive work, Terra for general-purpose reasoning, or Luna for cost-conscious applications — reducing unnecessary spending on more powerful models than needed.
What to watch
The models are currently in preview. Anthropic separately launched Claude Fable 5 in June and then halted development, restarting on July 1.
OpenAI's release of three distinct reasoning models signals a shift from monolithic AI products toward specialized, use-case-optimized offerings. Rather than forcing all developers onto a single powerful (and expensive) system, the company is fragmenting its reasoning layer by speed, safety, and cost profile. This reflects the broader industry trend of moving beyond one-size-fits-all LLMs toward targeted deployments.
The pricing structure underscores the differentiation: Sol's 5-dollar input and 30-dollar output cost, Terra's middle-ground pricing, and Luna's 1-dollar and 6-dollar tiers create clear economic incentives for developers to match model to workload. Simultaneously, Anthropic's halt and restart of Claude Fable 5 development (paused after June, resumed July 1) suggests competitive pressure in the reasoning model space, with multiple vendors experimenting with tiered capability and cost strategies to capture different market segments.
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