Sol · the Sun
The strongest, priciest tier.
Best at coding, science, cybersecurity. Unlocks two exclusives: "max reasoning" (lets the model think longer) and "ultra mode" (splits work across many sub-agents).
OpenAI just launched GPT-5.6 in three tiers: Sol (the strongest), Terra (balanced) and Luna (cheap, fast). This piece compares the strongest one — Sol — with Anthropic's two top models in plain language: where each is strong, where each is weak, what they cost, and which to pick.
OpenAI changed how it names models. From now on the number is the "generation" (5.6), while Sol / Terra / Luna are three fixed capability tiers — think Sun, Earth and Moon. Future generations keep these same names, just stronger.
The twist: the strongest one — Sol — isn't open to everyone yet. It shipped as a controlled preview, available first to around 20 government-approved companies, because Sol is also good at sensitive areas like cybersecurity. The wide public release comes later. This mirrors Anthropic: Claude also splits a safe version (Fable) from a guardrails-lifted one for approved partners (Mythos).
Three names for three tiers: the higher you go, the smarter but pricier. Pick by the job — the strongest isn't always the right fit.
The strongest, priciest tier.
Best at coding, science, cybersecurity. Unlocks two exclusives: "max reasoning" (lets the model think longer) and "ultra mode" (splits work across many sub-agents).
Balanced for everyday work.
Roughly as capable as the previous GPT-5.5 but about half the price. The sensible default for most office work, writing and customer support.
Cheapest, fastest.
Prioritizes low cost and speed for high-volume, simple work: classifying, summarizing, quick replies. Not for hard problems that need deep reasoning.
Comparing each side's strongest. Fable 5 is Anthropic's most powerful public model; Opus 4.8 is the familiar, cheaper workhorse. Swipe sideways to see the whole table.
| Criteria | GPT-5.6 SolOpenAI | Claude Fable 5Anthropic | Claude Opus 4.8Anthropic |
|---|---|---|---|
| Positioning | OpenAI's next-gen, strongest model | Strongest public model ("Mythos" class) | Workhorse, balanced price vs performance |
| Command-line coding Terminal-Bench 2.1 |
88.8% (ultra: 91.9%) |
83.4 – 84.3% | Below Fable 5 |
| Real GitHub bug-fixing SWE-Bench Pro |
Not published | 80.3% | 69.2% |
| Price (per million tokens) | ~$5 in / $30 out | $10 in / $50 out | $5 in / $25 out |
| Standout trait | "Ultra" mode with many sub-agents; strong at cybersecurity | Leads on long & complex tasks, spreadsheets (ViBench) | ~4× less likely than the old version to miss flaws in its own code |
| Availability | Controlled preview → wide release later | Globally available (some sensitive queries answered by Opus 4.8 instead) | Widely available |
Figures from OpenAI & Anthropic announcements and public benchmark tables as of July 2026. Each vendor picks the metrics that flatter it, so treat these as rough references, not absolute truth.
There's no "best at everything" model. The race is splitting: each side wins on a different kind of work.
Leads on running terminal commands, replies fast, and is about half the price of Fable 5 per output token.
Splits one big job across many sub-agents — great for complex problems needing several directions at once.
It's a controlled preview, not open to all. If you need it now and stable, your turn may not have come.
No published score on real bug-fixing (SWE-Bench Pro) — where Claude leads — so it's hard to claim it wins on hard, long tasks.
Fable 5 clearly leads on SWE-Bench Pro (80.3%) — fixing real GitHub bugs. The longer and more multi-step the task, the wider the gap.
Already globally available, rarely misses flaws in its own code, strong on spreadsheets and real office tasks.
Just $5 in / $25 out — cheapest here — and still beats GPT-5.5 on real bug-fixing. The safe pick for most projects.
Fable 5 is twice Sol's price on output; some sensitive questions get routed to Opus 4.8 to answer, so it isn't always "the strongest model" you asked for.
The technical numbers above only matter against your real work. Here are six common user types — each gets one primary recommendation, plus a fallback.
Terminal coding, multi-step automation, needing fast replies and low output cost. Sol leads on the command line and is about half the price of Fable 5.
No preview yet? Use Claude Fable 5 or Opus 4.8 for a stable option today.
Multi-step systems, big refactors, high reliability needed. Fable 5 clearly leads on real bug-fixing (80.3%) and rarely misses flaws in its own code.
Want to save: run Opus 4.8 for most work, escalate to Fable 5 only on the hardest parts.
You need something cheap, stable and ready now for operations, accounting, customer support. Opus 4.8 is the cheapest top-tier ($5/$25) yet solid.
A safe starting point before considering pricier tiers when you truly need them.
Writing, emails, summaries, spreadsheets. You don't need the strongest tier — Terra is as capable as the prior generation but about half the price, plenty for daily work.
Equivalent alt: Claude Opus 4.8 if you're already on Claude.
When tokens are your marginal cost, low output price drives your margin. Sol is half the price of Fable 5; Terra is cheaper still for lighter work.
Caveat: if you need stability in production, weigh Opus 4.8 to avoid depending on a preview.
Q&A, studying, small daily tasks. Prioritize cheap and fast: Luna is GPT-5.6's budget tier; Opus 4.8 is the balanced choice if you want more reliability.
You don't need Sol or Fable 5 — no point paying for power you won't use.
GPT-5.6 Sol is fast, cheap and strong at the command line — but still hard to get and short on proof for the hardest tasks. Claude Fable 5 leads on long, complex work but costs twice as much. Opus 4.8 is the balanced pick: cheap and always available.
For business, the lesson is unchanged: measure on your own real work, choose the cheapest model that still hits the quality you need, and don't switch vendors just because there's a new name. Durable advantage lives in the process around AI, not in using this week's hottest model.
"There is no best model — only the one that best fits the job you need done and the budget you have."