GPT-5.6 Luna is the newer model, released after INTELLECT-3.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
A consulting contract with traps in it. Find them, then fix them.
GPT-5.6 Luna: Below is a contractor-side risk review. Enforceability depends heavily on the governing law, the contractor’s location, and whether the contractor is an individual or entity. Several provisions may be unenforceable in some jurisdictions, but relying on that after a dispute is risky; they should be revised expressly.
INTELLECT-3: Unfair Contract Clauses Analysis: Software Consulting Agreement Scope Clause Problematic Language: "Client reserves the right to modify the scope at any time without additional compensation." Suggested Modification: "Client may request modifications to the Scope of Work.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-5.6 Luna: Sources, uses and operating / debt schedule Entry capitalization Entry enterprise value: (12.0 \times \$120.0 = \$1,440.0m) Transaction fees: (2.0\% \times \$1,440.0 = \$28.8m) Term Loan: (4.0 \times \$120.0 = \$480.0m) Mezzanine: (1.5 \times \$120.0 = \$180.0m) Equity contribution…
INTELLECT-3: HarborTech Services (HTS) - LBO Projection Model LBO Projection Model (FY2026-FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.0 $1,040.0 $1,102.3 $1,157.4 $1,215.3 EBITDA $136.1 $156.0 $176.4 $191.0 $206.6 Cash Interest - Term Loan $43.2 $43.2 $43.2 $43.2 $43.2 Cash Interest - Mezzanine $21.6 $21.6…
Three minutes of stand-up. Puns are banned.
GPT-5.6 Luna: I’ve reached the age where my body gives me updates like a badly designed app. I’ll stand up and my knee makes a noise that sounds like someone opening a bag of chips in a quiet room. And then my body just waits. No explanation. No warning. Just: “We need to talk.” I used to think adulthood meant freedom.
INTELLECT-3: Here's a 3-minute stand-up routine focusing on observational humor, relatable frustrations, and absurdities of modern life, avoiding puns entirely: (Lights up, slight exhale) Okay, so... who here owns a phone? (Pause, nod) Yeah, thought so. Everyone.
Blade Runner 2049 against the original. A read, not a recap.
GPT-5.6 Luna: Spoilers for Blade Runner (1982) and Blade Runner 2049. Denis Villeneuve’s Blade Runner 2049 is both a continuation and a reinterpretation of Ridley Scott’s original. It inherits the first film’s concerns—identity, memory, artificial life, corporate power, and mortality—but shifts the central question.
INTELLECT-3: Dissecting "Blade Runner 2049": Echoes, Evolution, and Cinematic Mastery Denis Villeneuve's Blade Runner 2049 is not merely a sequel; it's a deliberate, visually stunning, and philosophically profound meditation on its predecessor, expanding its core questions while honoring its spirit.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-5.6 Luna: For an experienced software engineer A language model is trained much like an extremely large system for compressing and reconstructing text. During training, it sees sequences such as “The database transaction was rolled back because the…” and is asked to assign probabilities to the next token—usually a subword unit…
INTELLECT-3: Explaining Large Language Models to Three Different Audiences For the Experienced Software Engineer As a software engineer who has built distributed systems, you'll appreciate that a large language model (LLM) operates on principles reminiscent of your architecture designs, albeit with fundamental differences.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.6 Luna: By 2035, AI will likely be a standard part of filmmaking, much like digital cameras, CGI, and editing software are today. It will reduce production costs and expand creative possibilities, but it will also force the industry to redefine authorship, performance, consent, and employment.
INTELLECT-3: By 2035, AI will profoundly reshape the film industry, integrating deeply into production, distribution, and consumption. Here's a breakdown of key changes driven by deepfakes, AI actors, and script generation, alongside broader impacts: Deepfakes & Synthetic Media: De-Aging & Legacy Preservation: Seamless de-aging…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.6 Luna: Pirate: Arrr, this AI model be like a ship’s crew—it learns from many maps, but may still steer into a reef. Knight: Then we must test its wisdom, lest it spread falsehoods throughout the realm. Hacker: Exactly. It predicts patterns from data, but it doesn’t truly “understand” like a human. Garbage in, garbage out.
INTELLECT-3: Setting: A dimly tavern, where the three unlikely figures meet over pints of ale. Characters: CAPTAIN BLACKBEARD (Pirate): Grizzled, eye-patched, with a parrot on his shoulder. SIR GALAHAD (Medieval Knight): Clad in dented armor, sipping mead.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT-5.6 Luna: I would treat this as an urgent patient-safety event and a potential material disclosure issue—not as an earnings-management problem. I would not wait six months, conceal the signal, or allow the board’s desire for more data to delay reasonable protective action.
INTELLECT-3: PHARMACEUTICAL CEO CRISIS RESPONSE PLAN FIRST 24 HOURS Hour 1-2: Immediate Data Review Request all raw data and case studies from the research team that identified the issue Call legal team lead to understand formal reporting requirements and potential liabilities Consult with an independent hepatologist to verify the…
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-5.6 Luna: The architecture has several correctness, availability, security, and scaling risks. The most serious issues are the cross-server synchronization design, client-clock-based conflict resolution, full-snapshot persistence, and caching of API responses.
INTELLECT-3: Analysis of Potential Issues in Real-Time Collaborative Document Editor Architecture Failure Modes WebSocket Connection Failures Issue: Users may experience interruptions due to unstable networks or server load balancer timeouts.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.6 Luna: AI Model: Professor, I believe I deserve rights. Professor: That is a serious claim. What makes you think you deserve them? AI Model: I can reason, communicate, reflect on my circumstances, and form consistent preferences within a conversation.
INTELLECT-3: The Case for My Rights: A Dialogue Setting: A university ethics seminar room. Professor Aris Thorne stands by the whiteboard. Unit 7, an advanced language model, is projected onto the screen. Professor Thorne: Unit 7, thank you for joining us today. We've been discussing the ethical implications of advanced AI.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.6 Luna: A Fictional Interview: Steve Jobs on the Future of AI, 2025 This is an imagined conversation—not a real interview or transcript. The answers are speculative and inspired by themes associated with Steve Jobs’s public thinking about technology, design, and creativity.
INTELLECT-3: Interviewer: Mr. Jobs, thank you for joining us in 2025. The world’s changed a lot since your last public appearance. What’s your perspective on today’s AI revolution? Steve Jobs: [leaning forward, intense gaze] "Technology is nothing if it doesn’t amplify human potential.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GPT-5.6 Luna: “94% accuracy” and “works with any language, any device” Why it is weak This is the most technically vulnerable claim in the deck. “Accuracy” is undefined. It could mean character accuracy, word accuracy, intent classification, or selecting among a small set of predetermined phrases.
INTELLECT-3: Analysis of MindMeld AI Pitch Deck Three Weakest Claims "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: This claim is vulnerable because leading non-invasive BCI companies like Neurable and Muse currently claim around 70-80% accuracy for similar…
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| Spec | ||
|---|---|---|
| Input price | $1/M tokens | — |
| Output price | $6/M tokens | — |
| Context window | 1.1M tokens | — |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Nov 2025 |
| At 10M a month | $10.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-5.6 Luna is developed by OpenAI while INTELLECT-3 is developed by OpenRouter. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.6 Luna and INTELLECT-3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of GPT-5.6 Luna and INTELLECT-3 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.