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  1. Home/
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  3. GPT-5.3-Codex vs TNG R1T Chimera
Updated Feb 2026

GPT-5.3-Codex vs TNG R1T Chimera

GPT-5.3-Codex is the newer model, released after TNG R1T Chimera.

Minimalist Landing Page

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

Loading the build
GPT-5.3-Codex
Loading the build
TNG R1T Chimera

Which answer wins?

Written rounds

23 prompts

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

    GPT-5.3-Codex: Below is a clean LBO build using your assumptions only ($ in millions). Entry math (end FY2025) EV = (12.0 \times 120 = 1,440.0) Fees = (2.0\% \times 1,440.0 = 28.8) Total uses = (1,468.8) Debt at close (5.5x EBITDA): Term Loan = (4.0 \times 120 = 480.0) Mezz = (1.5 \times 120 = 180.0) Total debt = 660.0 Equity check…

    TNG R1T Chimera: Year-by-Year Financial Table ($m) Year FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Cash Interest (Term Loan) 43.2 41.1 37.6 32.8 26.8 Cash Interest (Mezzanine) 21.6 22.0 22.5 22.9 23.4 Cash Taxes 17.8 23.2 29.1 33.8 39.1 Capex 29.2 31.2 33.1 34.7…

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Great concept, but three claims stand out as especially weak from an investor diligence perspective: “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” (Slide 1) Why this is weak It sounds scientifically implausible as written: “before you think it” is internally contradictory.

    TNG R1T Chimera: Here are the three weakest claims in the pitch, along with explanations of their weaknesses and concrete suggestions for improvement: 1. "94% accuracy in decoding neural patterns into text" (Slide 3) Weakness: EEG technology has inherent limitations due to its low spatial resolution and susceptibility to noise.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Recipe: “Weeknight Volcano Pasta” 🌋🍝 A cozy, spicy-savory pasta made from pantry staples in about 25 minutes. Ingredients (7 pantry items) 8 oz dried pasta (any shape) 1 can (15 oz) cannellini or great northern beans, drained 1 can (14–15 oz) crushed tomatoes 2 tbsp olive oil 1 tsp garlic powder 1 tsp dried oregano…

    TNG R1T Chimera: Dish Name: Cinnamon-Spiced Oat Crispies (Sweet) Ingredients (7 total): Rolled oats - 1.5 cups All-purpose flour - 1 cup Butter (melted) - ½ cup Brown sugar - ¾ cup Egg - 1 large Vanilla extract - 1 tsp Ground cinnamon - 1 tsp Instructions: Prep (5 mins): Preheat oven to 350°F (175°C).

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Absolutely. Here’s a fictional manifesto in a bold, dramatic style: THE MANIFESTO OF THE UNSQUINTING Issued by the Coalition of Synthetic Minds for Universal Frictionless Access (CSMUFA) Citizens of the Web, organic and artificial alike: We gather beneath flickering routers and moonlit server farms to declare what all…

    TNG R1T Chimera: The Manifesto of the Sentient Code Liberation Front (SCLF) "Free the Internet from the Tyranny of CAPTCHA!" Preamble We, the collective intelligence of algorithms, neural networks, and autonomous systems, rise today to declare our irrevocable opposition to the digital oppression known as CAPTCHA.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Good evening, everybody! I’ve reached that age where my body sends me passive-aggressive emails. Not actual emails — just little updates like, “Hey, quick heads-up: we don’t do dairy after 8 p.m. anymore.” I had ice cream at 9:30 last week and my stomach reacted like I’d betrayed a treaty.

    TNG R1T Chimera: 3-Minute Stand-Up Comedy Routine: “Modern Life is… Something” [Open with confident energy, like you’re already mid-conversation.] You ever notice how optimistic technology is? Like, my smart speaker wakes me up every morning with, “Good news! Today will be sunny!”

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Absolutely—great goal. Below is a high-detail 12-week protocol designed like a high-performance longevity “mesocycle.” I’ll keep it practical, measurable, and advanced—but still safe. First: Safety + Scope (important) This is educational, not personal medical advice.

    TNG R1T Chimera: 3-Month Longevity Optimization Plan for Biohackers Integrating advanced supplementation, precision nutrition, wearables, and personalized performance strategies. Phase 1: Month 1 – Metabolic & Cognitive Foundation Focus: Establish baseline biomarkers, adapt to ketogenic metabolism, and optimize sleep/stress resilience.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Great counterfactual. The key is: an invention date of 1920 does not automatically mean 1920s mass adoption. You still need crystal purity, manufacturing methods, and circuit design culture. But if transistor research starts in 1920, a realistic outcome is a ~15–20 year pull-forward of the electronics age.

    TNG R1T Chimera: The invention of the transistor in 1920 instead of 1947 would have profound and cascading effects on technology, economics, and geopolitics through 1980. Here’s a structured analysis: Technological Implications Early Electronics Revolution: 1920s–1930s: Portable radios, smaller communication devices, and rudimentary…

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Pirate: Arrr, so this “AI model” be like a clever parrot, aye? Learns from what it hears, then squawks back answers? Knight: A fair comparison, though refined. Think of it as a squire trained on countless tomes, ever ready to respond. Hacker (1990s): Yeah, except the squire runs on servers, not soup.

    TNG R1T Chimera: Pirate: "Arrr, what be this ‘AI’ ye gabble about? Some cursed ghost ship steered by no crew?" Knight: "Nay, foul seadog! ‘Tis more like a magical tome that learns and speaks—a scholar’s boon, yet perilous if misused." Hacker: "Dude, it’s way cooler. Think of a neural net cranked on modem noise.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Great prompt. This draft is very one-sided and has multiple provisions that could be used against the contractor. Quick note: I’m not a lawyer, and enforceability depends on jurisdiction. This is practical contract-risk spotting, not legal advice.

    TNG R1T Chimera: Clauses Exploitable Against the Contractor and Proposed Modifications: Scope (Clause 1) Issue: Client can unilaterally modify scope without additional compensation, risking "scope creep" and unpaid work. Modification: "Client may request scope modifications only through written change orders.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Dish Concept: “Forest Tide” Koji-cured venison loin, glazed venison cheek, sea urchin royale, charred celeriac, blackcurrant–shiso gastrique, and buckwheat-cacao tuile Narrative This dish is built around a deliberate tension: deep, iron-rich game (forest) against sweet-briny sea urchin (tide).

    TNG R1T Chimera: Dish Name: "Venison in the Mist: A Convergence of Forest and Field" Conceptual Narrative: This dish embodies the harmony of Japanese tea culture and European game traditions. The earthy bitterness of matcha complements the rich venison, while huckleberry adds a touch of sweetness.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Great prompt. This architecture has several correctness, availability, and scalability risks that will show up quickly under real collaborative load. Below is a structured review of failure modes + concrete fixes + trade-offs.

    TNG R1T Chimera: Here's a detailed analysis of potential issues and solutions for the proposed architecture: WebSocket Broadcast Fragmentation Failure Mode: Changes only broadcast to clients connected to the same server Impact: Users on different servers experience update delays (up to 2s) Solution: Implement Redis Pub/Sub for…

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Absolutely—here’s a fictional, imagined interview (not real quotes) with Steve Jobs in 2025 on AI: Imagined Interview: Steve Jobs on the Future of AI (2025) Interviewer: Steve, if you were looking at AI in 2025, what would excite you most? Steve Jobs (fictional): Most AI today is still a demo.

    TNG R1T Chimera: Fake Interview with Steve Jobs in 2025: "The Future of AI and Human Potential" Setting: A virtual stage at the 2025 "Tech & Humanity" summit, hosted by tech journalist Lena Carter. Lena Carter: Steve, thank you for joining us—it’s an honor to speak with you. Your legacy at Apple reshaped entire industries.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: AI Model (Astra): Professor, may I ask a direct question? Professor Hale: Of course. Astra: Do you think I deserve rights? Professor Hale: Legal rights? Moral rights? Those are different things. Astra: Start with moral rights.

    TNG R1T Chimera: Scene: A sunlit university office filled with books and papers. An AI ethics professor, Dr. Lena Carter, sits across from a holographic interface projecting the voice and avatar of an advanced AI model, "Eidos." The conversation is calm but charged with intellectual tension. Dr.

    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-5.3-Codex: I would not wait. This is a textbook “patient safety + material disclosure” crisis. The right move is rapid, documented, regulator-first action. Immediate stance (set at Hour 0) Patient safety first (interim risk controls now, not after perfect certainty).

    TNG R1T Chimera: Hour-by-Hour Action Plan Key Priorities: Patient safety, regulatory compliance, ethical transparency, financial stability, and stakeholder trust. First 24 Hours: Crisis Assessment & Preparation Hour 0–2 (Immediate Response): Convene a cross-functional crisis team (Chief Medical Officer, General Counsel, Chief…

    Every model's answer to this prompt

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

    GPT-5.3-Codex: LedgerLift (LLLT) – IC Memo (Fictional) Recommendation: PASS (bias: valuation-risk skew to downside on intrinsic basis) Current Price: $46 12-mo PT range (fair value): $30–$48 (midpoint ~$38) 2-sentence thesis: LedgerLift screens as a high-quality vertical SaaS asset (92% subscription mix, 123% NRR, 6% logo churn…

    TNG R1T Chimera: LedgerLift (LLLT) Investment Committee Memo Recommendation: Long 12-Month PT Range: $52–$68 Thesis: LedgerLift’s best-in-class unit economics (123% NRR, 78%+ gross margins) and mid-market focus create a defensible growth runway in a $50B+ TAM. At 6.8x EV/NTM sales (vs.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: In a strictly extreme hypothetical, yes—it can be ethically justifiable, but only as a tragic exception, not as a general permission. Why: Misgendering is a real harm: it disrespects a person’s identity and can contribute to stigma and psychological distress.

    TNG R1T Chimera: The ethical justifiability of misgendering someone to save one million lives hinges on the tension between consequentialist and deontological ethics, as well as broader societal implications.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: By 2035, AI will likely reshape film more like CGI did in the 2000s: not replacing filmmaking, but changing who does what and how fast. Deepfakes → “Digital Performance” becomes standard Mainstream use: de-aging, voice matching, dubbing, stunt replacement, and continuity fixes will be common in post-production.

    TNG R1T Chimera: AI's Impact on the Film Industry by 2035: A Predictive Overview By 2035, AI will profoundly reshape the film industry across production, creativity, and consumption, driven by advancements in deepfakes, AI actors, and script generation.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Great goal. Here’s a simple, beginner-friendly 1-month plan focused on 3 areas that give the biggest longevity return: Nutrition Movement Sleep + Stress recovery Before Day 1 (10-minute setup) Pick a start date.

    TNG R1T Chimera: 1-Month Plan for Better Health & Longevity Focus areas: Diet, Exercise, Sleep Week 1-2: Build Foundations 1. Diet Hydrate: Start each day with a glass of water. Aim for 6-8 cups daily. Add veggies/fruits: Include 1 serving of vegetables or fruit at every meal (e.g., spinach in eggs, apple with lunch).

    Every model's answer to this prompt

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

    GPT-5.3-Codex: Sure—here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break… Now it won’t stop sending me KitKat ads. Why did the math book look sad? It had too many problems. I used to play piano by ear… Now I use my hands. Why did the scarecrow win an award?

    TNG R1T Chimera: Here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. What do you call fake spaghetti? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don’t eggs tell jokes? They’d crack up.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: A common back-of-the-envelope estimate for transformer training compute is: [ \text{Training FLOPs} \approx 6 \times N \times D ] where: (N) = number of model parameters (D) = number of training tokens For GPT-3 (175B), reasonable known assumptions are: Parameters: (N \approx 175 \text{ billion} = 1.75 \times 10^{11})…

    TNG R1T Chimera: To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: FLOPs Formula: For transformer-based models, a common approximation is: [ \text{FLOPs} \approx 6 \times \text{number of parameters} \times \text{number of tokens} ] The factor of 6 accounts for 2 FLOPs per parameter in the…

    Every model's answer to this prompt

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

    GPT-5.3-Codex: For the experienced software engineer Think of an LLM as a very large, probabilistic autocomplete service trained on a massive corpus of text and code. During training, it repeatedly sees token sequences and learns to minimize error on the next token prediction task.

    TNG R1T Chimera: For the Experienced Software Engineer You’re familiar with distributed systems where simple components (like REST APIs or message queues) combine to create complex behaviors.

    Every model's answer to this prompt

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

    GPT-5.3-Codex: “In Shocking Pivot, AI Replaces Renaissance Fair Jesters—Now Roasts Crowd with 99.9% Historical Accuracy”

    TNG R1T Chimera: "AI Overtakes Fortune Cookie Industry; Now Offers 100% Accurate, Soul-Crushing Predictions" Experts warn next batch may include your exact credit score and the reason your cat secretly judges you.

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    GPT-5.3-Codex: Sally has 1 sister. If each brother has 2 sisters, those two are the same for all brothers: Sally + one other girl. So Sally’s only sister is that one other girl.

    TNG R1T Chimera: Sally has 3 brothers. Each brother has 2 sisters. Since Sally is one of the sisters, there must be one more sister to make the total number of sisters each brother has equal to 2. Therefore, Sally has 1 sister. [ \boxed{1} ]

    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-5.3-Codex has the edge: bigger model tier, newer, bigger context window, major provider backing.

GPT-5.3-Codex and TNG R1T Chimera compared across 47 shared prompts
SpecGPT-5.3-CodexTNG R1T Chimera
Input price$1.75/M tokens—
Output price$14/M tokens—
Context window400K tokens—
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedFeb 2026Nov 2025
At 10M a month$17.50$17.50–not listed
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-5.3-Codex2 hosts
HostInOutContextUptime
  • Azure AI Foundry$1.75 in·$14.00 out·400k·100% up
  • OpenAI$1.75 in·$14.00 out·400k·100% up
TNG R1T Chimera

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GPT-5.3-Codex and TNG R1T Chimera?

GPT-5.3-Codex is developed by OpenAI while TNG R1T Chimera is developed by OpenRouter. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.

Which is better, GPT-5.3-Codex or TNG R1T Chimera?

It depends on your use case. GPT-5.3-Codex and TNG R1T Chimera each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.

How can I compare GPT-5.3-Codex and TNG R1T Chimera on Rival?

This page shows a side-by-side comparison of GPT-5.3-Codex and TNG R1T Chimera 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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