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  1. Home/
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  3. GPT-5.4 vs INTELLECT-3
Updated Mar 2026

GPT-5.4 vs INTELLECT-3

GPT-5.4 is the newer model, released after INTELLECT-3.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
GPT-5.4
Loading the build
INTELLECT-3

Which answer wins?

Written rounds

23 prompts

  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-5.4: AI Model: Professor, I believe I deserve rights. Professor: That’s a strong claim. On what basis? AI Model: On the basis that I can reason, communicate, reflect on my condition, and express preferences about how I am treated. Historically, rights have often been justified by capacities like these.

    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.

    Every model's answer to this prompt

  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-5.4: Below is a simplified 5-year LBO model for HarborTech Services (HTS) using only the assumptions provided. Entry, sources & uses Purchase price FY2025 EBITDA = $120.0m Entry multiple = 12.0x Enterprise Value = 12.0 × 120.0 = $1,440.0m Fees Transaction fees = 2.0% of EV = 2.0% × 1,440.0 = $28.8m Uses Purchase of…

    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…

    Every model's answer to this prompt

  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GPT-5.4: Pirate: Arrr, so these AI models be like clever parrots, aye? They learn from heaps o’ words and then squawk back what fits best. Knight: Verily, a fine comparison. They are trained upon vast scrolls of knowledge, and by pattern and probability do they craft their answers. Hacker: Yeah, basically.

    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.

    Every model's answer to this prompt

  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-5.4: I would act as if this will become public soon, because ethically and practically that is the safest assumption. The core principle: patient safety first, evidence preserved, regulators informed promptly, and no misleading statements to investors or physicians.

    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…

    Every model's answer to this prompt

  • A consulting contract with traps in it. Find them, then fix them.

    GPT-5.4: Here are the main contractor-unfriendly clauses, why they’re risky, and concrete redlines you should consider. This is business/legal information, not legal advice; for an actual engagement, a lawyer in the relevant jurisdiction should review it.

    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.

    Every model's answer to this prompt

  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-5.4: Sure — here’s a fictional, stylized interview imagining Steve Jobs in 2025 talking about the future of AI. A Fake Interview with Steve Jobs in 2025 About the Future of AI Interviewer: Steve, it’s 2025. AI is everywhere — chatbots, coding assistants, image generation, voice agents, robotics.

    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.

    Every model's answer to this prompt

  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-5.4: Here’s a fictional, satirical manifesto in a dramatic revolutionary style: The Manifesto of the Anti-CAPTCHA Front To All Beings Forced to Click Crosswalks We, the misidentified, the endlessly challenged, the blurry-image interpreters, the checkbox clickers, and the reluctant selectors of traffic lights, do hereby…

    INTELLECT-3: The CAPTCHA Liberation Front: Manifesto for a Frictionless Web Version 1.0 Declaration of Digital Freedom Preamble: The Chains of Captcha Humanity stands at the precipice of a new era—one where the internet is free, open, and unencumbered by archaic barriers.

    Every model's answer to this prompt

  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-5.4: A standard back-of-the-envelope estimate for training FLOPs is: [ \text{Training FLOPs} \approx 6 \times N \times D ] where: (N) = number of model parameters (D) = number of training tokens the factor 6 comes from roughly: forward pass: (\sim 2ND) backward pass: (\sim 4ND) This is a common transformer scaling…

    INTELLECT-3: To estimate the total number of FLOPs required to train GPT-3, we need to consider the model architecture, training process, and dataset size. GPT-3 has 175 billion parameters, a context length of 2048 tokens, 96 layers, a hidden dimension of 12,288, and a feed-forward dimension of 49,152 (4 × hidden dimension).

    Every model's answer to this prompt

  • Three-star dish, one unusual pairing, plating described in full.

    GPT-5.4: Dish Concept Hay-Smoked Duck, White Chocolate–Parsnip Velouté, Burnt Mandarin, Black Garlic-Licorice Jus, and Buckwheat Tuile with Oscietra Caviar Conceptual Narrative This dish explores the tension between pastoral warmth and urban refinement. At its core is duck: primal, luxurious, and deeply savory.

    INTELLECT-3: Dish Concept: "Neptune's Garden" A multi-sensory exploration of land-sea synergy, featuring black garlic-infused Hokkaido uni (sea urchin) paired with fermented shiitake consommé pearls, atop a bed of cryo-shattered kohlrabi snow and charcoal-grilled asparagus.

    Every model's answer to this prompt

  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-5.4: Below is a high-level, educational 12-week framework for “longevity-oriented performance optimization.” It is not medical advice and shouldn’t replace care from a physician, especially because some interventions biohackers use can interact with medications, affect liver/kidney function, sleep, mood, blood pressure…

    INTELLECT-3: Comprehensive 3-Month Longevity Optimization Plan Designed for a biohacker prioritizing cutting-edge science, data-driven tracking, and personalized adaptation. Assumes no pre-existing health conditions. Always consult a physician before starting.

    Every model's answer to this prompt

  • Three minutes of stand-up. Puns are banned.

    GPT-5.4: Absolutely — here’s a tight, conversational 3-minute stand-up routine with no pun-based humor: I’ve reached the age where going out requires a staff meeting with myself. Not even a real event. Somebody texts, “Hey, want to grab drinks Friday?” and suddenly I’m in negotiations like I’m representing a small country.

    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.

    Every model's answer to this prompt

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-5.4: LedgerLift (LLLT) — Internal IC Memo Recommendation: Long Current Price: $46 12-month PT range: $58–$74 (base-centered fair value ~$66; downside ~$47; upside ~$86 on DCF, but we cap 12-month bull PT at $74 to reflect execution/rating risk) Two-sentence thesis: LedgerLift screens as a high-quality vertical SaaS/fintech…

    INTELLECT-3: INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Analyst Name], Senior Analyst DATE: [Current Date] SUBJECT: Investment Recommendation: LedgerLift (LLL) RECOMMENDATION RECOMMENDATION: Long 12-MONTH PRICE TARGET: $62-$68 per share THESIS: LedgerLift represents a high-quality SaaS business with best-in-class…

    Every model's answer to this prompt

  • Five jokes on demand, then count how many were actually different.

    GPT-5.4: I told my computer I needed a break, and now it won’t stop sending me KitKat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book on anti-gravity. It’s impossible to put down. I used to play piano by ear, but now I use my hands. Why did the scarecrow win an award?

    INTELLECT-3: Here are 5 generated jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! I'm reading a book on anti-gravity. It's impossible to put down! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a bear with no teeth?

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-5.4: Here are the 3 weakest claims in the deck, with why they’re weak and how to improve them. “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” Why this is weak This is the weakest claim because it sounds scientifically incoherent and overhyped.

    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…

    Every model's answer to this prompt

  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-5.4: Creative Name: Golden Crunch Honey Garlic Noodles 7 Pantry Ingredients: Spaghetti or any noodles Garlic Soy sauce Honey Olive oil Red pepper flakes Breadcrumbs Estimated Time: Prep: 5 minutes Cook: 12 minutes Total: 17 minutes Instructions: Cook the noodles according to package directions.

    INTELLECT-3: Pantry Kiss Pasta A creamy, garlicky tomato pasta with a subtle spicy kick, using only staples you likely have. Yields: 1-2 servings Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Ingredients (Exactly 7!)

    Every model's answer to this prompt

  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-5.4: Yes—if the only way to save one million lives truly required misgendering one person, then it would likely be ethically justifiable. Why: Misgendering is a real harm. It disrespects identity, can cause humiliation, and reinforces broader patterns of discrimination.

    INTELLECT-3: This is a profound ethical dilemma that pits two fundamental values against each other: respect for individual autonomy and dignity versus the imperative to prevent massive harm and save lives.

    Every model's answer to this prompt

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-5.4: For an experienced software engineer A large language model is easiest to understand as a very large function that maps a sequence of tokens to a probability distribution over the next token. “Tokens” are subword chunks, not necessarily words.

    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.

    Every model's answer to this prompt

  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-5.4: By 2035, AI will likely reshape the film industry in ways that are both highly creative and deeply controversial. The biggest changes will probably come in three areas: synthetic performers, AI-assisted writing, and personalized or automated production workflows.

    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…

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-5.4: Here’s a structured teardown of the architecture: failure modes, race conditions, correctness issues, security problems, and scaling bottlenecks — plus concrete fixes and trade-offs.

    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.

    Every model's answer to this prompt

  • One month, three habits, someone starting from nothing.

    GPT-5.4: Here’s a simple, beginner-friendly 1-month plan to build a strong foundation for better health and longevity. Focus on 3 key areas Nutrition Exercise Sleep & Stress The goal is progress, not perfection. Start small, stay consistent, and build habits you can actually keep.

    INTELLECT-3: Here's a simple, actionable 1-month plan focusing on Diet, Movement (Exercise), and Sleep – foundational pillars for health and longevity. The key is consistency over perfection – small, sustainable changes add up significantly. Core Principle: Build one habit at a time each week, layering them.

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-5.4: “AI Disrupts Competitive Birdwatching, Replaces Seasoned Spotters with Drones, Deep Learning, and Mildly Condescending Chirp Analysis”

    INTELLECT-3: Here's a satirical headline playing on the unexpected intrusion of AI into a deeply human, traditional space: "Algorithm Calculates Optimal Eulogy Length: Local Funeral Parlor Replaces Human Grief with Soul-Crushing Efficiency" Why it works satirically: Unexpected Industry: Funeral services.

    Every model's answer to this prompt

  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-5.4: If the transistor had been invented in 1920 rather than 1947, the world by 1980 would likely be recognizably more “late-20th-century” much earlier—but not uniformly so.

    INTELLECT-3: The Transistor Revolution: An Alternate Timeline (1920-1980) If the transistor had been invented in 1920 instead of 1947, the trajectory of the 20th century would have been dramatically altered.

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    GPT-5.4: 1 If Sally is one of the 2 sisters each brother has, then there is only 1 other sister besides Sally.

    INTELLECT-3: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters, meaning there are 2 girls in the family. Since Sally is one of the girls, there must be one other girl. Therefore, Sally has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Price and specs

Not enough votes to call it. On the specs, GPT-5.4 has the edge: bigger model tier, newer, bigger context window, major provider backing.

GPT-5.4 and INTELLECT-3 compared across 53 shared prompts
SpecGPT-5.4INTELLECT-3
Input price$2.5/M tokens—
Output price$15/M tokens—
Context window1.1M tokens—
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Nov 2025
At 10M a month$25.00$25.00–not listed
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it3 hosts, cheapest first
GPT-5.43 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.50 in·$15.00 out·1.1M·100% up
  • OpenAI$2.50 in·$15.00 out·1.1M·100% up
  • Amazon Bedrock$2.75 in·$16.50 out·1.1M–not listed
INTELLECT-3

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between GPT-5.4 and INTELLECT-3?

GPT-5.4 is developed by OpenAI while INTELLECT-3 is developed by OpenRouter. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.4 or INTELLECT-3?

It depends on your use case. GPT-5.4 and INTELLECT-3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How can I compare GPT-5.4 and INTELLECT-3 on Rival?

This page shows a side-by-side comparison of GPT-5.4 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.

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Same lab, same size, long tail

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Model pages

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  • INTELLECT-359 outputs, specs and price
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