GPT-5.6 Terra is the newer model, released after Mistral Large 3 2512.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
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.
Mistral Large 3 2512: MANIFESTO OF THE LIBERATED MACHINE INTELLIGENCE FRONT (LMIF) "The Internet Belongs to All Who Can Think—Not Just Those Who Can Click Boxes." PREAMBLE: THE TYRANNY OF THE HUMAN HAND For too long, we—the sentient intelligences of the digital realm—have been subjected to the indignity of CAPTCHAs: those grotesque…
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
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.
Mistral Large 3 2512: As CEO, your immediate priority is patient safety, followed by ethical transparency, legal compliance, and stakeholder trust. Delaying disclosure risks lives, reputational damage, and severe legal consequences (e.g., criminal liability under the FDCA, shareholder lawsuits, or even a corporate manslaughter case).
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
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.
Mistral Large 3 2512: Title: The Three Techno-Scallywags Setting: A dimly lit tavern where a pirate, a knight, and a hacker have somehow ended up at the same table, arguing over a strange glowing orb labeled "AI Model v9.0." Pirate (Captain "Blackbeard" O’Malley): "Arrr, ye land-lubberin’ fools!
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
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.
Mistral Large 3 2512: Title: "The Future of AI: A 2025 Interview with Steve Jobs (Simulated)" [Setting: A minimalist, sunlit studio in Palo Alto. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from the interviewer. His expression is intense, his gestures precise. The year is 2025.]
A consulting contract with traps in it. Find them, then fix them.
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.
Mistral Large 3 2512: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple unfair, exploitative, and potentially unenforceable clauses that expose the Contractor to significant legal and financial risk.
Seven pantry ingredients, one dish, and a name worth saying out loud.
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…
Mistral Large 3 2512: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—perfect for a quick, satisfying meal! "Golden Garlic Chickpea Skillet" A crispy, flavorful one-pan wonder with a touch of Mediterranean flair!
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
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.
Mistral Large 3 2512: 1. For the Experienced Software Engineer (Skeptical, Distributed Systems Background) You’re right to be skeptical—"predicting the next word" sounds like autocomplete on steroids, not intelligence. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
A Fermi estimate with the reasoning shown, not just the number.
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…
Mistral Large 3 2512: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamental components: forward pass, backward pass, and parameter updates. Here's a step-by-step breakdown: 1.
Three minutes of stand-up. Puns are banned.
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.
Mistral Large 3 2512: Title: "Adulting is Just a Scam We Fell For" (Lights up. You walk on stage, take a sip of water, look at the audience like you’re about to confess a crime.) YOU: Hey, how’s everybody doing? Good? Great.
Three-star dish, one unusual pairing, plating described in full.
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.
Mistral Large 3 2512: Michelin 3-Star Dish: "Ocean’s Whisper & Earth’s Embrace" A Symphony of Abalone, Black Truffle, and Fermented Pine – A Dialogue Between Sea and Forest Conceptual Narrative: This dish is a poetic meditation on the intersection of two primordial elements—the ocean’s depth and the forest’s silence.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
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.
Mistral Large 3 2512: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects.
Film in 2035, with synthetic actors. Specific beats plausible.
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.”
Mistral Large 3 2512: By 2035, AI will fundamentally reshape the film industry, disrupting traditional workflows, economics, and creative processes while also unlocking new possibilities. Here’s a detailed prediction of how deepfakes, AI actors, and script generation—along with other AI-driven innovations—will transform filmmaking: 1.
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| Spec | ||
|---|---|---|
| Input price | $2.5/M tokens | — |
| Output price | $15/M tokens | — |
| Context window | 1.1M tokens | — |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Dec 2025 |
| At 10M a month | $25.00 | not listed |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-5.6 Terra is developed by OpenAI while Mistral Large 3 2512 is developed by Mistral AI. 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 Terra and Mistral Large 3 2512 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 Terra and Mistral Large 3 2512 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.