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Chatbots API usage-based: Sol $5/$30, Terra $2.50/$15, Luna $1/$6 per 1M tokens ★ Editor's pick

GPT-5.6 Sol

OpenAI's flagship GPT-5.6 family (Sol, Terra, Luna) targeting frontier coding, agentic tasks, and cybersecurity — currently in limited preview.

Updated 2026-06-27

9.1
AI Score / 10
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Overview

GPT-5.6 Sol is the top tier of OpenAI's newest flagship model family, announced June 26, 2026 alongside two siblings: Terra (the balanced mid-tier) and Luna (the cost-efficient tier). The pitch is frontier-level reasoning aimed squarely at three areas OpenAI is leaning into hard — software engineering, long-horizon agentic workflows, and cybersecurity — where the company claims new state-of-the-art results on benchmarks including Terminal-Bench.

The three-tier structure is the practical story here. Sol is the heavyweight at $5 input / $30 output per million tokens, Terra slots in at $2.50 / $15, and Luna undercuts both at $1 / $6 — so teams can route easy calls to Luna and reserve Sol for the hard problems. This mirrors the now-standard frontier-lab playbook (think Anthropic's Opus/Sonnet/Haiku split), and the per-token economics put Sol in the same premium bracket as other flagship reasoning models rather than commodity territory.

The notable wrinkle: GPT-5.6 launched in limited preview after what OpenAI describes as coordination with the US government, a framing tied to the model's cybersecurity capabilities. That gating matters — at announcement this is not a model you can simply switch your production traffic to, and the cybersecurity angle cuts both ways (stronger defensive tooling, but also dual-use concern that explains the cautious rollout). Anyone evaluating it should treat availability, rate limits, and final pricing as subject to change until general availability.

Key features

Three-tier family

Sol (flagship), Terra (balanced), and Luna (efficient) share the GPT-5.6 generation but trade capability against cost, letting you route requests by difficulty instead of paying flagship rates for every call.

Agentic & coding focus

OpenAI positions the family around long-horizon agentic tasks and software engineering, claiming new state-of-the-art on Terminal-Bench — a benchmark measuring how reliably a model completes real terminal/coding workflows.

Cybersecurity capability

Major reported gains on cybersecurity benchmarks are a headline feature and the stated reason for the gov-coordinated limited preview — a dual-use capability OpenAI is rolling out cautiously.

Tiered API pricing

Per-million-token pricing scales with tier: Sol at $5/$30, Terra at $2.50/$15, Luna at $1/$6 (input/output), so cost-sensitive workloads can drop to Luna without leaving the family.

Pricing

Luna (efficient) $1 / $6 per 1M tokens

Cost-efficient tier for high-volume or simpler tasks (input / output pricing).

Terra (balanced) $2.50 / $15 per 1M tokens

Mid-tier balancing capability and cost for general production workloads.

Sol (flagship) $5 / $30 per 1M tokens

Top-tier model for the hardest coding, agentic, and reasoning tasks.

Pros & cons

Pros

  • Three-tier family lets you match model cost to task difficulty instead of overpaying
  • Claimed state-of-the-art on Terminal-Bench, a meaningful real-world coding/agentic benchmark
  • Luna tier ($1/$6 per 1M tokens) is genuinely cheap for a current-generation model
  • Strong focus on agentic, long-horizon workflows rather than just chat

Cons

  • ×Launched in limited preview — not broadly available, so you can't reliably build production on it yet
  • ×Sol's $5/$30 pricing is premium; costs add up fast on token-heavy agentic loops
  • ×Cybersecurity/dual-use framing and gov coordination signal tighter usage gating than a normal release
  • ×Benchmark claims are vendor-reported at launch; independent verification is still pending

How it compares

Compare head-to-head

Related reading

Ready to try GPT-5.6 Sol?

Head to the official site to start with GPT-5.6 Sol — pricing and plans are listed above.

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