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What is GPT-5.6? Sol, Terra, Luna Explained (June 2026)

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What is GPT-5.6? Sol, Terra, Luna Explained (June 2026)

On June 26, 2026, OpenAI previewed GPT-5.6 — a new flagship family with three variants: Sol, Terra, and Luna. The release came with three unusual features: a White House access-control agreement limiting initial availability, a naming convention break (sun/earth/moon instead of numeric suffixes), and a benchmark gap larger than typical point releases. This page covers what GPT-5.6 is, how the three variants differ, pricing, access timeline, and how to evaluate whether to wait or use alternatives today.

Last verified: June 27, 2026.

TL;DR

  • GPT-5.6: OpenAI’s next-generation model family, previewed June 26, 2026
  • Three variants: Sol (flagship, $5/$30 per 1M), Terra (mainstream, $2.50/$15), Luna (cheap, $1/$6)
  • Benchmark leader: Sol Ultra 91.9% Terminal-Bench 2.1 (vs Mythos 5 88.0%, GPT-5.5 83.4%)
  • Efficiency leap: ~3x fewer output tokens than Mythos Preview on ExploitBench at competitive scores
  • Access: limited preview only as of June 27; White House cleared trusted partners only
  • Public rollout: “coming weeks” per OpenAI — likely July 2026
  • Available alternative today: Claude Fable 5 (GA), Gemini 3.5 Pro (GA), GPT-5.5 (GA)

The three variants

Sol — the flagship

Sol is OpenAI’s strongest model yet. It’s the variant the US government’s access controls are really about. Key specs:

  • Pricing: $5.00 input / $30.00 output per 1M tokens (same as GPT-5.5)
  • Benchmarks: Sol Ultra 91.9% Terminal-Bench 2.1; base Sol 88.8%
  • Specialization: long-horizon coding, agentic security workflows (vulnerability research, exploitation reasoning), frontier reasoning
  • Safeguards: strengthened layered protections for cybersecurity, bioweapons, and other high-risk activity surfaces
  • Default in: Codex preview, ChatGPT agent mode (for cleared accounts)

The headline efficiency claim: on ExploitBench, Sol is competitive with the prior Mythos Preview frontier while generating only ~1/3 the output tokens. For agentic workflows priced per token, that’s a ~3x cost compression at frontier capability.

Terra — the mainstream tier

Terra is the variant most users will actually use once GPT-5.6 hits ChatGPT Plus and Pro. Key specs:

  • Pricing: $2.50 input / $15 output per 1M tokens (half of Sol and GPT-5.5)
  • Performance target: similar to GPT-5.5 at half the cost
  • Use case: general ChatGPT use, API for everyday tasks, content generation, summarization, conversational agents

Terra is the deliberate mid-market move. By pricing it at half of GPT-5.5 with comparable performance, OpenAI is forcing a market-wide repricing of mainstream LLM API access. Anthropic Claude Sonnet at ~$3/$15 and Gemini 3.5 Pro at $1.25-$2.50/$10-$15 are the closest competitors.

Luna — the cost-optimized tier

Luna is OpenAI’s cheapest GPT-5.6 model. Key specs:

  • Pricing: $1 input / $6 output per 1M tokens
  • Use case: high-volume background tasks, batch processing, embedded applications, classification, simple agent steps
  • Competitive position: competes with Gemini 3.5 Flash, Claude Haiku, and DeepSeek V3.5 for the cost-sensitive segment

At $1/$6, Luna is in the same price band as the established cheap-tier models but with GPT-5.6 family lineage. Expect Luna to be the workhorse for production teams running large agent fleets where per-task cost dominates.

Pricing comparison vs other June 2026 flagships

ModelInput ($/1M)Output ($/1M)
GPT-5.6 Sol$5.00$30.00
GPT-5.6 Terra$2.50$15.00
GPT-5.6 Luna$1.00$6.00
GPT-5.5 (reference)$5.00$30.00
Claude Fable 5$10.00$50.00
Claude Mythos 5~$15~$75 (estimated, cleared access only)
Gemini 3.5 Pro (≤200K)$1.25$10.00
Gemini 3.5 Pro (>200K)$2.50$15.00
Gemini 3.5 Flash$0.35$2.80
DeepSeek V3.5$0.27$1.10

Two things jump out:

  1. Sol at the same price as GPT-5.5 with better benchmarks is OpenAI applying pricing pressure on Anthropic.
  2. Terra at half GPT-5.5 price is OpenAI applying pricing pressure on Google’s Gemini Pro pricing.

Why the limited rollout matters

The White House access-control agreement is the most consequential part of this release for the industry, not just for OpenAI. It establishes a precedent:

  • The US government previewed GPT-5.6 capabilities before launch
  • It requested a limited initial rollout for evaluation
  • OpenAI complied (and called it “unsustainable” publicly)
  • Anthropic’s Mythos 5 went through a similar process — suspended June 12, 2026; partially restored to vetted US organizations on June 27, 2026 (the same day as the Sol preview)

This is the new pattern for frontier-AI releases in the US: government preview, government access list, staged public release. Expect Gemini 4 (whenever it launches) to follow the same path.

Prompt caching improvements

A quietly important change: GPT-5.6 introduces more predictable prompt caching with:

  • Explicit cache breakpoints — you control where the cache boundary sits in your prompt
  • 30-minute minimum cache life — caches persist long enough to plan for in production
  • Predictable cost behavior — easier to estimate per-request cost

For agent workflows that reuse system prompts and codebase context across many turns, this can cut input-token costs by 90% or more. Combined with Sol’s output-token efficiency, the total per-task cost in production can drop substantially.

What to do today

  1. If you have preview access: start with Sol for agentic coding and security workflows. Compare against your current Mythos 5 or Fable 5 deployment on real workloads, not just benchmarks. Measure output-token consumption — the efficiency claim is the real headline.
  2. If you don’t have preview access (most teams): keep using Claude Fable 5, Gemini 3.5 Pro, or GPT-5.5 for now. Build behind a model router so you can swap Sol in the day API access opens.
  3. For mainstream API use cases: plan a migration path from GPT-5.5 to Terra once Terra is generally available. The 50% cost reduction at similar performance is worth the integration work.
  4. For high-volume cheap workloads: evaluate Luna against Gemini 3.5 Flash, Claude Haiku, and DeepSeek V3.5 once Luna is GA. Pricing puts it in the same band; quality differences will decide the choice.

Timeline expectations

  • Late June 2026: Sol/Terra/Luna available only to White-House-cleared trusted partners
  • Early-to-mid July 2026: likely expansion to ChatGPT Plus and Pro subscribers
  • Mid-to-late July 2026: likely API general availability for paying customers
  • August 2026 or later: Sol Ultra (the higher-capability Sol variant referenced in benchmarks) to broad availability

This timeline is OpenAI’s “coming weeks” language interpreted against the Mythos 5 precedent (15-day suspension before partial restoration).