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GPT-5.6 Sol vs Terra vs Luna: Which OpenAI Tier to Pick (July 2026)

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GPT-5.6 Sol vs Terra vs Luna at a Glance

OpenAI publicly released the GPT-5.6 family — Sol, Terra, and Luna — on Thursday, July 9, 2026, ending the API-only preview that started June 26. Naming pattern: solar-system objects, with capability decreasing and speed increasing as you move from Sun (Sol) → Earth (Terra) → Moon (Luna).

TierInput / MTokOutput / MTokSpeedPositioning
GPT-5.6 Sol$5.00$30.00StandardFlagship — hardest tasks
GPT-5.6 Terra$2.50$15.00FastMid-tier — balanced
GPT-5.6 Luna$1.00$6.00Very fastCheap volume workhorse
Sol Ultra$12.50$75.00Up to 750 tok/sMulti-agent Sol variant

When to Use Each Tier

Sol — Flagship

Use for:

  • Complex software engineering (multi-file refactors, migrations)
  • Cybersecurity vulnerability research (Sol’s specialty)
  • Long-horizon coding (Ultra mode: 91.9% on Terminal-Bench 2.1)
  • Scientific workflows: genomics, quantitative biology
  • Any task where model quality dominates cost

Don’t use for: Chat, autocomplete, batch classification — Sol is overkill and 5x pricier than Luna.

Terra — Mid-Tier Workhorse

Use for:

  • Everyday coding assistance (Cursor, Copilot backends)
  • Business analysis, drafting, research summaries
  • Agent workflows that don’t need Sol’s specialization
  • Anything where Sonnet 5 would work but you want an OpenAI equivalent

Positioning: Terra roughly matches GPT-5.5 quality at ~50% of GPT-5.5’s original price. It’s the direct competitor to Claude Sonnet 5 ($2/$10 intro / $3/$15 standard).

Luna — Cheap Volume

Use for:

  • High-volume chat (support bots, FAQ answering)
  • Classification, tagging, sentiment
  • Batch summarization
  • Routing (deciding which more expensive model to call)
  • Autocomplete and inline code suggestions

Positioning: Luna at $1/$6 competes with Claude Haiku 4.5 ($0.80/$4 as of July 2026) and DeepSeek V4 Flash ($0.15/$0.60). It’s not the absolute cheapest, but it’s the cheapest frontier-lab option with reliable quality.

Head-to-Head vs Claude

TaskCheapest AnthropicCheapest GPT-5.6Winner (July 2026)
ClassificationHaiku 4.5 ($0.80/$4)Luna ($1/$6)Haiku on price
Everyday codingSonnet 5 ($2/$10 intro)Terra ($2.50/$15)Sonnet on price and 1M context
Hardest codingFable 5 ($10/$50, gated)Sol Ultra ($12.50/$75)Ultra for public availability
Deep analysisOpus 4.8 ($15/$75)Sol ($5/$30)Sol on price, Opus on nuance

Decision Framework

What's the task?

├── Volume + speed (classification, routing, chat)
│   → Luna ($1/$6)  — or Haiku 4.5 for slightly cheaper

├── Everyday coding + business tasks
│   → Terra ($2.50/$15)  — or Sonnet 5 ($2/$10 intro) for 1M context

├── Complex coding, cybersecurity, long horizon
│   → Sol ($5/$30)

├── Multi-agent orchestration + hardest terminal/coding
│   → Sol Ultra ($12.50/$75)

└── Deep writing nuance, creative long-form
    → Claude Opus 4.8 (still better than any GPT-5.6 tier here)

ChatGPT Access (July 9, 2026)

PlanGPT-5.6 Access
FreeLuna with tight rate limits
Plus ($20/mo)Terra by default, limited Sol
Pro ($200/mo)Full Sol, limited Ultra
Business/EnterpriseFull Sol and Ultra, admin controls
APIAll tiers pay-as-you-go

The government-gating from the preview period is lifted for Sol and Terra as of July 9. Sol Ultra remains under a heavier safety-testing regime for high-risk queries (bio, cyber-offense) — expect refusals in those domains.

The Bottom Line

For July 2026, the smart routing pattern for OpenAI’s stack is:

  1. Luna for volume — chat, classification, cheap generation
  2. Terra for everyday work — the new default for most coding and business tasks
  3. Sol only when Terra isn’t enough — hardest coding, cyber research, scientific workflows
  4. Sol Ultra only when you need the multi-agent boost — long-horizon tasks that would exhaust a single context

Most teams over-buy on Sol. Start with Terra and only escalate to Sol on tasks where you can measure the quality gap.

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