GPT-5.6 Sol, Terra & Luna: Full Review, Benchmarks & Pricing (2026)

~18 min read · MACCOME

Who should read this? Engineering leads, security researchers, and product teams deciding which frontier model to route coding Agents through in June 2026. Bottom line: On June 26, 2026 OpenAI released GPT-5.6 Sol, Terra, and Luna—its first solar-system-named family—led by Sol at 91.9% on TerminalBench 2.1 Ultra mode, but limited to ~20 government-approved partners until broad access expected in July. Structure: six pain points → model tiers and pricing → benchmarks → government restriction → Mythos 5 comparison → access timeline → six-step playbook → FAQ.

GPT-5.6 Release: Six Pain Points Teams Face Right Now

The GPT-5.6 launch lands in the same week as OpenAI's Jalapeño inference chip and amid the broader 2026 AI funding supercycle. Product teams evaluating Sol, Terra, and Luna hit these constraints immediately:

  1. Government-gated access. Only ~20 U.S.-approved trusted partners can call GPT-5.6 via API and Codex today. General ChatGPT users are waiting weeks—not days—for rollout.
  2. Competitor vacuum creates false clarity. Anthropic's Claude Fable 5 and Mythos 5 went offline June 12 under export control. Sol's benchmark wins look decisive, but the comparison set is temporarily incomplete.
  3. Multi-agent Ultra mode burns tokens. Sol's record TerminalBench score depends on parallel subagents. Teams without token budgets or routing logic will overspend on tasks standard mode could handle.
  4. All three tiers carry High cybersecurity ratings. Luna is the first non-flagship OpenAI model to hit High in both cybersecurity and biology. Compliance and abuse-monitoring overhead applies even to lightweight tiers.
  5. Benchmark leadership is task-specific. Sol tops TerminalBench and CTF, but Claude Fable 5 may still lead SWE-Bench Pro. Routing everything to Sol without a coding assistant decision matrix invites overpayment.
  6. Speed and access are decoupled. Cerebras 750 token/s Sol does not arrive until July 2026 for select enterprise customers. Latency-sensitive apps cannot assume hyperscaler throughput on day one.

What Is GPT-5.6? Solar Naming and the June 26 Launch

On June 26, 2026, OpenAI formally released the GPT-5.6 family—its most significant model drop since GPT-5.5 and the first to use celestial naming:

  • Sol (the Sun) — flagship maximum capability for complex coding, security research, and long-horizon agents
  • Terra (the Earth) — balanced tier for high-volume enterprise workloads at half Sol's cost
  • Luna (the Moon) — lightweight, low-latency tier for summarization, drafting, and routine automation

This is also the first OpenAI product line where every tier—including Luna—crossed OpenAI's internal High cybersecurity risk classification. Our pre-launch analysis in the June 2026 GPT-5.6 rumor roundup flagged the solar naming and Polymarket odds; the official release confirms both.

GPT-5.6 pricing per 1M tokens

ModelInputOutputBest forContext
GPT-5.6 Sol$5 / 1M tokens$30 / 1M tokensComplex coding, security research, multi-step agents~1.5M tokens
GPT-5.6 Terra$2.50 / 1M tokens$15 / 1M tokensEnterprise docs, support, internal tools at scale~1.5M tokens
GPT-5.6 Luna$1 / 1M tokens$6 / 1M tokensSummarization, drafting, high-frequency automation~1.5M tokens

Terra delivers GPT-5.5-level performance at 50% lower cost than Sol. Luna costs roughly 80% less than Sol while still earning a High cybersecurity rating—unprecedented for an entry tier.

GPT-5.6 Sol: Max Mode and Ultra Multi-Agent Architecture

Sol is OpenAI's most capable model to date. Beyond raw scale, it introduces two reasoning modes absent from prior releases:

Max mode

Sol allocates additional inference time before responding—trading latency for accuracy. Use Max when correctness matters more than time-to-first-token: production debugging, security triage, and compliance-sensitive code review.

Ultra mode

Ultra mode is Sol's multi-agent architecture. Instead of a single model chain, Sol spawns parallel subagents that split a complex task, execute concurrently, and merge results. This design is the primary driver behind Sol's 91.9% TerminalBench 2.1 record. Ultra consumes significantly more tokens; reserve it for genuinely multi-step agent workflows.

GPT-5.6 Benchmarks: TerminalBench, Agents, CTF, and Life Sciences

TerminalBench 2.1 (coding agents)

TerminalBench 2.1 runs 89 complex command-line planning challenges—testing multi-step tool use, iterative repair, and task coordination closer to real agent work than single-shot code completion.

ModelScoreMode
GPT-5.6 Sol91.9%Ultra (multi-agent)
GPT-5.6 Sol88.8%Standard
Claude Mythos 588.0%Standard
GPT-5.583.4%Standard
Gemini 3.1 Pro Preview70.7%Standard

Claude Mythos 5 held the top spot for only 17 days (since June 9) before Sol displaced it.

Agent's Last Exam (long-horizon tasks)

ModelTask completion rate (code mode)
GPT-5.6 Sol50.9% — only model above 50%
GPT-5.6 LunaSlightly above GPT-5.5

Cybersecurity: CTF and ExploitBench

GPT-5.6 is the first OpenAI family where all three tiers trigger the High cybersecurity classification.

ModelCTF hit rate
Sol96.7%
Terra91.84%
Luna85.19%

On ExploitBench, Sol matches Anthropic's Mythos Preview performance while using only about one-third of the output tokens—the same security-research capability at dramatically lower API cost.

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Safety note: OpenAI red-teaming confirmed Sol can identify vulnerabilities and exploit primitives in Chromium and Firefox codebases but cannot autonomously construct complete, functional exploit chains against hardened targets. It remains below OpenAI's "Cyber Critical" threshold.

Life sciences: GeneBench v1 and HealthBench

  • GeneBench v1 (genomics and quantitative biology): Sol matches or exceeds GPT-5.5 using fewer tokens
  • HealthBench Professional: Sol scores 60.5+8.7 points above GPT-5.5

Cerebras Acceleration: 750 Tokens Per Second in July 2026

Starting in July 2026, OpenAI will deploy GPT-5.6 Sol on Cerebras hardware for select enterprise customers. The headline throughput: 750 tokens per second.

Context: most frontier models today output 50–150 tokens/s. At 750 token/s, a 10-second response could complete in under one second—material for real-time coding assistants, interactive agents, and customer-facing streaming applications. Initial access is limited while Cerebras expands capacity.

Government Restriction: Trump EO, Altman Quote, and the Big Three Block

On June 2, 2026, President Trump signed an executive order allowing U.S. government agencies up to 30 days of pre-release access to review frontier AI models for national security. The order is not legally mandatory, but it produced real constraints.

On June 26, following a White House request coordinated by the Office of Science and Technology Policy (OSTP) and the Office of the National Cyber Director (ONCD), OpenAI limited GPT-5.6 to approximately 20 pre-approved trusted partner organizations. This is the first time the U.S. government has formally required an AI company to restrict a frontier model's release.

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Sam Altman, OpenAI CEO: "We don't believe this kind of government access process should become the long-term default. It keeps the best tools from users, developers, enterprises, cyber defenders, and global partners who need them."

June 2026: the Big Three flagship releases blocked

CompanyModelStatus (June 2026)
OpenAIGPT-5.6 Sol / Terra / LunaLimited preview (~20 approved partners)
AnthropicClaude Fable 5 / Mythos 5Forced offline June 12 via export control
GoogleGemini 3.5 ProDelayed to July; originally slated for June

June was positioned as the biggest AI release month in history. Instead, all three flagship labs saw their top-tier models blocked at the door.

GPT-5.6 Sol vs Claude Mythos 5: Honest Comparison

DimensionGPT-5.6 SolClaude Mythos 5
TerminalBench 2.191.9% (Ultra) / 88.8% standard88.0%
ExploitBenchNear-identical to Mythos Preview; ~1/3 tokensStrong; restricted access
Input / output price$5 / $30 per 1M tokens$10 / $50 (offline)
AvailabilityLimited preview; general release within weeksOffline under U.S. export control
Context window~1.5M tokens200K tokens

Bottom line: Sol beats Mythos 5 on TerminalBench and offers comparable security-research capability at roughly half the price. Claude Fable 5 may still lead on benchmarks like SWE-Bench Pro where GPT-5.6 system card data has not been fully published. Revisit routing once OpenAI releases the complete benchmark report.

When Will GPT-5.6 Be Available? Access Timeline and Polymarket Odds

Now (June 2026): ~20 government-approved partner organizations via API and Codex only. General ChatGPT users cannot access GPT-5.6 yet.

Expected July 2026:

  • General ChatGPT availability (Plus and Pro users first)
  • Public API access
  • GPT-5.6 Sol on Cerebras at up to 750 token/s for select enterprise customers

Polymarket prediction: traders currently assign an 87% probability that GPT-5.6 will be broadly released by July 31, 2026.

Which GPT-5.6 Model Should You Use?

Your needRecommended model
Complex code generation, debugging, multi-step agent tasksSol
Enterprise document analysis, customer support, large-scale API callsTerra
High-frequency summarization, drafting, routine automationLuna
GPT-5.5 performance on a tighter budgetTerra (50% cheaper than Sol)
Latency-critical real-time apps (after July 2026)Sol on Cerebras

GPT-5.6 Safety: Classifiers, Red-Teaming, and Safeguards

With all three tiers rated High for cybersecurity, OpenAI treated safety as a launch prerequisite:

  • Real-time misuse classifiers on every output
  • Account-level review for sensitive workflows
  • 700,000 A100-equivalent GPU hours of automated red-teaming
  • Universal jailbreak testing to find and patch cross-prompt attack vectors
  • A specialized large reasoning model filters responses if primary safeguards fail
  • External security organizations tested all models before launch

Six Steps: How to Prepare for GPT-5.6 General Availability

  1. Audit your current model routing. With Mythos 5 offline and Sol gated, map which tasks actually need frontier capability versus Terra or Luna. Use the four-player coding assistant matrix before committing spend.
  2. Separate Ultra from standard mode in your Agent stack. Route only multi-step terminal and CI workflows to Sol Ultra. Default Terra for document and support pipelines to avoid 3× token burn.
  3. Plan for government-access uncertainty. Track OSTP and ONCD guidance through the 30-day EO window (~July 2 framework expected). If your org is not among the ~20 partners, queue API migration tests against GPT-5.5 and Gemini fallbacks now.
  4. Budget Cerebras separately. 750 token/s Sol is enterprise-limited in July—not a default ChatGPT tier. Latency SLAs should not assume Cerebras throughput until your contract confirms region and quota.
  5. Enable cybersecurity guardrails before enabling Luna. Luna's High rating means lightweight tiers still need misuse monitoring. Pair API keys with account-level review policies OpenAI documents in the Deployment Safety System Card.
  6. Keep Agent control planes on stable 24/7 compute. Model API access can throttle during preview windows; Gateway processes, cron triggers, and local fallbacks should not run on sleep-prone laptops.

Three Hard Numbers for Your Model Selection Review

  • 91.9% TerminalBench 2.1 (Sol Ultra) — record score displacing Claude Mythos 5's 88.0% after a 17-day reign; standard Sol still leads at 88.8%.
  • 96.7% CTF hit rate (Sol) — with Terra at 91.84% and Luna at 85.19%; first OpenAI family where every tier hits High cybersecurity classification.
  • 750 tokens/s on Cerebras (July 2026) — 5× to 15× faster than typical 50–150 token/s frontier output; Polymarket assigns 87% odds of broad GPT-5.6 release by July 31.

Conclusion: Capability Leap, Access Friction

GPT-5.6 delivers three breakthroughs: Sol's Ultra multi-agent mode topping global coding benchmarks, ExploitBench parity at one-third the token cost of Mythos Preview, and Cerebras-backed 750 token/s throughput reshaping real-time AI. It also sets a precedent—the U.S. government's first formal restriction on a frontier model release—that may outlast the June preview window.

For teams shipping coding Agents today, three gaps persist while GPT-5.6 ramps: preview-only API access for most organizations, competitor models offline or delayed, and control-plane workloads that still need 24/7 uptime outside any model tier. Betting everything on laptop-sleep-prone dev machines or single-vendor API routing leaves you exposed to the same access volatility the government review created—without Sol in production. For Agent and Gateway environments that must stay online through quota events and model outages, a dedicated MACCOME Mac mini (M4 / M4 Pro) cloud node is usually the more stable layer beneath your model API stack. See tiers on the rental rates page and onboarding in the cloud Mac support center.

FAQ

Is GPT-5.6 available on ChatGPT now?

Not yet for the general public. As of June 2026, GPT-5.6 is limited to approximately 20 U.S. government-approved trusted partner organizations via API and Codex. Full ChatGPT rollout for Plus and Pro users is expected within weeks, likely in July 2026.

Is GPT-5.6 Sol better than Claude Fable 5 for coding?

Sol leads on TerminalBench 2.1 at 91.9% (Ultra) versus Claude Mythos 5 at 88.0%. Claude Fable 5 may still lead on SWE-Bench Pro, but official GPT-5.6 SWE-Bench scores have not been published. Sol delivers comparable or better performance at roughly half the pre-offline Fable 5 price.

What is Ultra mode in GPT-5.6 Sol?

Ultra mode deploys multiple AI subagents that work in parallel on different parts of a complex task, then synthesize a unified result. This multi-agent architecture drove Sol's record TerminalBench score but consumes significantly more tokens than standard mode.

Why is GPT-5.6 restricted to ~20 partners?

Following President Trump's June 2, 2026 executive order and a White House request coordinated by OSTP and ONCD, OpenAI agreed to limit GPT-5.6's launch during a government security review. OpenAI publicly stated it opposes this becoming permanent industry practice.

How fast will GPT-5.6 Sol be on Cerebras?

Starting in July 2026, GPT-5.6 Sol on Cerebras hardware is expected to reach up to 750 tokens per second for select enterprise customers—roughly 5 to 15 times faster than most current frontier models.

What is the GPT-5.6 context window size?

All three tiers report approximately 1.5 million tokens of context, up from GPT-5.5's 1 million. Official confirmation is expected with the full system card at general release.

Are all three GPT-5.6 models safe for cybersecurity work?

All three carry OpenAI's High cybersecurity risk rating. Safeguards include real-time classifiers, extensive red-teaming, and confirmed limits—models cannot autonomously build complete functional exploit chains against hardened targets.

What should engineering teams do while GPT-5.6 access is limited?

Build multi-model routing and keep Agent control planes on stable 24/7 compute. MACCOME Mac mini M4 and M4 Pro cloud nodes run OpenClaw Gateway and coding Agent workflows without laptop sleep interruptions—see rental rates and the support center.