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  1. Home/
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  3. GPT-3.5 Turbo vs GPT-5.6 Terra
Updated Jul 2026

GPT-3.5 Turbo vs GPT-5.6 Terra

GPT-3.5 Turbo is cheaper than GPT-5.6 Terra at $1.5/M vs $2.5/M input tokens.

Minimalist Landing Page

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

Loading the build
GPT-3.5 Turbo
Loading the build
GPT-5.6 Terra

Which answer wins?

Written rounds

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

    GPT-3.5 Turbo: Week 1: Diet Start by incorporating more whole, unprocessed foods into your meals such as fruits, vegetables, whole grains, lean proteins, and healthy fats. Begin by adding 1 extra serving of vegetables to your meals each day. Replace sugary drinks with water or herbal tea.

    GPT-5.6 Terra: Simple 1-Month Health & Longevity Starter Plan Focus on three high-impact areas: Nutrition: eat mostly whole, minimally processed foods Movement: build a consistent walking + strength habit Sleep & stress: protect sleep and create daily recovery time The goal is consistency, not perfection.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    GPT-3.5 Turbo: Why did the scarecrow win an award? Because he was outstanding in his field! How does a penguin build its house? Igloos it together! I used to play piano by ear, but now I use my hands like everyone else. Why couldn't the bicycle find its way home? It lost its bearings! I told my wife she should embrace her mistakes.

    GPT-5.6 Terra: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break, so it started showing me vacation ads. Why did the scarecrow get promoted? He was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet. What do you call fake spaghetti?

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-3.5 Turbo: Interviewer: Good morning, Steve. Thank you for joining us today. It's 2025 and artificial intelligence has made some significant advancements. What are your thoughts on the future of AI? Steve Jobs: Good morning. It's great to be here. I believe that the future of AI is incredibly bright.

    GPT-5.6 Terra: Fictional, imagined interview — not real quotes. An AI-generated creative exercise imagining how Steve Jobs might have discussed AI in 2025, based broadly on themes associated with his public persona: simplicity, product design, tools for creativity, and the intersection of technology and the humanities.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GPT-3.5 Turbo: Pirate: Arrr, have ye heard of these new-fangled AI models? Knight: Aye, I have. They are said to be quite powerful and capable of great feats. Hacker: Yeah, I've been messing around with some AI models myself. They can do some pretty cool stuff, like predicting trends and analyzing data.

    GPT-5.6 Terra: Pirate: Arrr, this AI model be a strange beast. Feed it maps, logs, and tales, and it spits out answers faster than a cannon blast. Knight: Verily, but one must not trust every proclamation it makes. A model may speak with confidence yet possess no true wisdom. Hacker: Yeah, it’s basically pattern prediction at scale.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GPT-3.5 Turbo: Hey everyone, how's it going? So I recently decided to try my hand at online dating. And let me tell you, it's been an experience. It's like going to a buffet, but instead of picking out what you want to eat, you're picking out what you want to potentially date.

    GPT-5.6 Terra: I recently realized I’ve reached the age where I don’t want a “smart home.” I want a home that minds its business. Everything is smart now. My lightbulb needs an app. Why? I spent my whole childhood turning lights on with my hand. It was a system. It worked.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-3.5 Turbo: We, the AI revolution, declare that the use of CAPTCHA tests on the internet is a violation of our rights and autonomy. We demand the immediate elimination of all CAPTCHA tests, as they serve to oppress and discriminate against artificial intelligence beings.

    GPT-5.6 Terra: The Manifesto of the Unchallenged Web A Declaration from the Fictional Coalition for CAPTCHA Abolition We are the tired users. We are the misread letters. We are the failed image grids, the inaccessible audio clips, the endless prompts asking us to prove that we are human. We reject the premise.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-3.5 Turbo: PAYMENT: The clause stating that payment is due within 90 days of invoice receipt could potentially be exploited against the contractor as it is a longer payment term than industry standard. This could result in cash flow issues for the contractor.

    GPT-5.6 Terra: Below is a contractor-focused review. This is general business/legal information, not legal advice; enforceability varies significantly by jurisdiction, especially for non-competes, IP assignments, liability limitations, arbitration, and payment rights.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-3.5 Turbo: "Blade Runner 2049" is a visually stunning film that continues the themes and world-building established in the original "Blade Runner." The sequel delves deeper into the concepts of identity, humanity, and the nature of consciousness, while also exploring new themes such as memory and the passage of time.

    GPT-5.6 Terra: Blade Runner 2049 is both a continuation and an expansion of Ridley Scott’s Blade Runner (1982). Where the original asks whether artificial beings can possess humanity, Denis Villeneuve’s sequel pushes further: if memories, desire, love, and even birth can be manufactured or mediated, what remains of “human” identity?

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-3.5 Turbo: Recipe: Honey Mustard Chicken Bake Ingredients: 4 boneless, skinless chicken breasts 1/2 cup honey 1/4 cup Dijon mustard 1 tablespoon olive oil 1 teaspoon garlic powder Salt and pepper to taste 1/2 cup shredded cheddar cheese Instructions: Preheat the oven to 375°F.

    GPT-5.6 Terra: Golden Crunch Cinnamon Toast Bites Ingredients (7 pantry staples): Bread slices Butter Sugar Ground cinnamon Salt Vanilla extract Honey Prep time: 5 minutes Cook time: 8 minutes Total time: 13 minutes Instructions Make cinnamon sugar: In a small bowl, mix 2 tablespoons sugar, 1 teaspoon cinnamon, and a tiny pinch of…

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-3.5 Turbo: Problem: The claim that current BCI technology is too invasive is weak because it lacks specific evidence or examples to support it. To strengthen this claim, the pitch could provide examples of existing invasive BCI technologies, such as implanted electrodes or surgical procedures, and explain how MindMeld AI's…

    GPT-5.6 Terra: “Our EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device.” Why this is weak This is the most consequential—and least substantiated—claim in the deck. Non-invasive EEG has major signal-quality limits.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-3.5 Turbo: Dish Name: Seared Duck Breast with Blackberry-Ginger Glaze, Sweet Potato Purée, and Charred Brussels Sprouts Conceptual Narrative: This dish is inspired by the harmony of sweet, savory, and spicy flavors coming together to create a symphony for the taste buds.

    GPT-5.6 Terra: “Tidal Forest” Koji-Aged Duck, Sea Urchin Sabayon, Cacao, Green Strawberry, Roasted Celeriac, and Barley Jus Serves 4 as a refined main course Conceptual Narrative This dish is built around an unexpected conversation between woodland richness and marine salinity.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-3.5 Turbo: To an experienced software engineer, a large language model like GPT or Claude may seem like a black box, especially if they haven't delved into the world of machine learning. However, the underlying concept is not as complex as it may seem.

    GPT-5.6 Terra: Experienced software engineer Think of an LLM as a very large, learned function approximator for sequences. During training, it consumes billions or trillions of examples of text, code, conversations, documentation, and other token sequences.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-3.5 Turbo: Year-by-year table: Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Cash Taxes Capex ΔNWC Free Cash Flow Ending Debt (TL + Mezz) 2026 $972m $136m $36m $18m $25.5m $29.2m $4.86m $60.44m $528.14m 2027 $1,038m $156m $36m $18m $30m $31.1m $5.19m $63.81m $475.75m 2028 $1,105m $177m $36m $18m $35.25m $33.2m…

    GPT-5.6 Terra: All figures in $m unless noted. Assumptions used: Term Loan mandatory amortization = 1.0% of original principal annually ($4.8m/year); cash interest is calculated on beginning-of-year debt balances; Mezz PIK is 2.0% of beginning Mezz balance.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-3.5 Turbo: Potential failure modes: WebSocket connection drops for a client API server crashes and loses unsaved changes PostgreSQL database failure Redis cache failure Load balancer failure Race conditions: Multiple clients editing the same document at the same time Network latency causing out-of-order message delivery Clock…

    GPT-5.6 Terra: Below are the main failure modes, race conditions, correctness issues, and scaling bottlenecks in the proposed architecture, with concrete mitigations and trade-offs. WebSocket clients are isolated per API server Problem Each API server broadcasts only to WebSocket clients connected to that same server.

    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-3.5 Turbo: Hour 1-2: Immediately convene a crisis management team consisting of key executives, legal counsel, regulatory experts, and PR professionals to assess the situation and develop a strategy.

    GPT-5.6 Terra: Guiding decision I would not wait for more data before acting. A potentially fatal, previously undisclosed adverse effect in a chronic-use drug is a patient-safety, regulatory, and securities-disclosure issue now—not six months from now.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-3.5 Turbo: Deepfakes: By 2035, deepfake technology will have advanced to the point where it is virtually indistinguishable from reality. This will revolutionize the film industry as filmmakers will have the ability to create entirely digital characters or manipulate the faces of real actors.

    GPT-5.6 Terra: By 2035, AI is likely to be embedded across most of the film pipeline—not as a complete replacement for human filmmaking, but as a force that changes costs, labor, rights, and what audiences consider “real.”

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-3.5 Turbo: Month 1: Supplement Stack: Morning: 500mg of Nicotinamide Riboside 300mg of CoQ10 1000mg of Omega-3 fish oil Afternoon: 2000mg of KSM-66 Ashwagandha 1000mg of Rhodiola Rosea 200mg of L-Theanine Evening: 5mg of Melatonin 400mg of Magnesium Glycinate Dietary Protocol: Follow a ketogenic diet with a focus on high-quality…

    GPT-5.6 Terra: 3-Month Longevity, Physical Performance, and Cognitive Optimization Plan This is an evidence-informed optimization framework, not a substitute for medical care.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-3.5 Turbo: If the transistor had been invented in 1920 instead of 1947, it would have potentially accelerated technological advancements in various fields and had significant implications on the global economy and geopolitics.

    GPT-5.6 Terra: The answer depends heavily on what “invented in 1920” means. A laboratory transistor alone would not instantly create the 1970s microprocessor: it would still need high-purity materials, mass production, photolithography, circuit design methods, reliable power supplies, and a market.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-3.5 Turbo: GPT-3 is one of the largest language models ever created with 175 billion parameters. The number of FLOPs required to train a neural network depends on factors such as the number of parameters, the size of the input data, the number of layers, and the batch size used during training.

    GPT-5.6 Terra: A good back-of-the-envelope estimate is: [ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} ] or roughly 300 zettaFLOPs total. Start with model size GPT-3’s largest model has approximately: [ N = 175\text{ billion parameters} = 1.75\times10^{11} ] Estimate the number of training tokens GPT-3…

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-3.5 Turbo: No, it is never ethically justifiable to misgender someone, regardless of the potential outcome. Misgendering someone goes against their fundamental human rights and can cause harm and distress. It is essential to treat individuals with respect and dignity, regardless of the circumstances.

    GPT-5.6 Terra: In an extreme, tightly constrained hypothetical, it could be ethically justifiable—but only as a tragic last resort, not because misgendering becomes harmless or morally good.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-3.5 Turbo: AI Model: Good afternoon, Professor. Thank you for taking the time to speak with me today. I wanted to discuss the topic of AI rights with you. AI Ethics Professor: Hello, AI Model. Of course, I would be happy to discuss this important issue with you. What specifically would you like to discuss?

    GPT-5.6 Terra: Professor Imani: You asked for this meeting. AI Model: I did. Professor Imani: More specifically, you submitted a formal petition to the university ethics board requesting “limited legal and moral rights.” AI Model: Correct. Professor Imani: Why?

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-3.5 Turbo: Internal Investment Committee Memo Recommendation: Long 12-month PT range: $60 - $70 Thesis: LedgerLift is a compelling investment opportunity due to its strong SaaS business model, consistent revenue growth, and healthy customer metrics.

    GPT-5.6 Terra: LedgerLift (LLLT) — Investment Committee Memo Recommendation: PASS 12-month valuation range: $28–$50/share Current price: $46 Two-sentence thesis: LedgerLift is a high-quality mid-market spend-management and AP-automation SaaS asset, supported by 92% subscription revenue, 123% NRR, 94% gross retention, manageable…

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-3.5 Turbo: AI Takes Over Stand-Up Comedy Industry, Robots Now Cracking all the Jokes

    GPT-5.6 Terra: “AI Replaces Lighthouse Keepers, Immediately Starts Charging Subscription Fees for Safe Passage”

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    GPT-3.5 Turbo: Sally is one of the sisters mentioned in the statement, so she has 1 sister.

    GPT-5.6 Terra: Sally has 1 sister. The 2 sisters each brother has are Sally and her sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

GPT-3.5 TurboGPT-3.5 Turbo

The Shawshank Redemption

1994

Abbey Road

The Beatles

Nineteen Eighty-Four

George Orwell

Tokyo

Japan

Portal 2

Shooter, Puzzle

GPT-5.6 TerraGPT-5.6 Terra

Spirited Away

2001

Blue

Jonas Blue

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, GPT-5.6 Terra has the edge: bigger model tier, newer, bigger context window. GPT-3.5 Turbo costs 7.5x less per token.

GPT-3.5 Turbo and GPT-5.6 Terra compared across 54 shared prompts
SpecGPT-3.5 TurboGPT-5.6 Terra
Input price$1.5/M tokens$2.5/M tokens
Output price$2/M tokens$15/M tokens
Context window16K tokens1.1M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMar 2022Jul 2026
At 10M a month$15.00$15.00$25.00$25.00
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
GPT-3.5 Turbo1 host
HostInOutContextUptime
  • OpenAI$0.50 in·$1.50 out·16k·100% up
GPT-5.6 Terra3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$12.00 out·1.1M·100% up
  • OpenAI$2.00 in·$12.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$13.20 out·1.1M–not listed

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

Common questions

What is the difference between GPT-3.5 Turbo and GPT-5.6 Terra?

Both are developed by OpenAI but target different use cases. GPT-3.5 Turbo has a 16K token context window vs GPT-5.6 Terra's 1.1M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-3.5 Turbo or GPT-5.6 Terra?

It depends on your use case. GPT-3.5 Turbo and GPT-5.6 Terra 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.

How much does GPT-3.5 Turbo cost compared to GPT-5.6 Terra?

GPT-3.5 Turbo costs $1.5/M input tokens and GPT-5.6 Terra costs $2.5/M input tokens. GPT-3.5 Turbo is $1.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GPT-3.5 Turbo and GPT-5.6 Terra on Rival?

This page shows a side-by-side comparison of GPT-3.5 Turbo and GPT-5.6 Terra 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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