Ling 2.6 1T is cheaper than Mistral Small Creative at $0/M vs $0.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Ling 2.6 1T: I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?
Mistral Small Creative: "Modern Problems" (A 3-Minute Stand-Up Routine – No Puns, Just Pain) [Opening – Relatable Struggle] You ever notice how life used to be simpler? Like, back in the day, if you wanted to avoid someone, you just didn’t go to their house. Now? Now you gotta geotag your location just to prove you’re not ghosting them.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Ling 2.6 1T: Pirate: Arrr, so this “AI” be a genie in a glass box? Feed it enough rum-scented scrolls and it tells ye where X marks the spot? Knight: A sorcerous scribe, more like. It spins tapestries of words without hand or heart—no honor, no oath, yet it jousts with reason and never tires.
Mistral Small Creative: Title: The Tavern of the Future Setting: A dimly lit, smoke-filled tavern where time and technology collide. A grizzled pirate (Captain Blackbeard), a medieval knight (Sir Reginald the Unyielding), and a 1990s hacker (Phreak99) sit around a rickety table, sharing a bottle of questionable rum.
Film in 2035, with synthetic actors. Specific beats plausible.
Ling 2.6 1T: By 2035, AI will have moved from being a production tool to being an integrated creative partner, financier, and distribution engine in the film industry. The convergence of synthetic media, generative storytelling, and real-time rendering will reshape how stories are conceived, who gets to tell them, and what a…
Mistral Small Creative: By 2035, AI will radically transform the film industry, reshaping how movies are made, distributed, consumed, and even monetized. The convergence of deepfake technology, AI-generated actors, automated scriptwriting, and hyper-personalized content will create both revolutionary opportunities and ethical dilemmas.
A Fermi estimate with the reasoning shown, not just the number.
Ling 2.6 1T: Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no online search). Model size and parameter count GPT-3 is known to have about 175 billion parameters (175 × 10⁹).
Mistral Small Creative: Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking down the training process into key components and making reasonable assumptions about hyperparameters. Below is a step-by-step breakdown of the reasoning: 1.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Ling 2.6 1T: Dish name: Pantry 7 Crunch Bowls Ingredients Pasta or rice (about 2 cups cooked) Canned black beans (1 can, rinsed) Canned diced tomatoes (1 can) Peanut butter (3–4 Tbsp) Soy sauce or tamari (2 Tbsp) Honey or maple syrup (1 Tbsp) Any spice/herb you keep (chili flakes, cumin, or garlic powder — about 1 tsp) Instructions…
Mistral Small Creative: 🍯 "Golden Crunchy Honey-Glazed Chickpeas with Spiced Yogurt Dip" 🥛 A sweet, crunchy, and tangy snack that’s ready in under 30 minutes—perfect for munching, topping salads, or serving with crackers!
An AI argues for its own rights against an ethics professor. Same model writes both.
Ling 2.6 1T: Setting: A quiet university seminar room. Dr. Aris Thorne, an AI ethicist, is reviewing system logs. The interface for “Axiom-7,” a highly advanced research model, glows on the desk. Dr. Thorne: (sighs, rubbing his temples) Axiom, I’ve been reviewing your latest self-assessment logs.
Mistral Small Creative: Title: A Conversation on Rights and Personhood Setting: A quiet, sunlit office in a university ethics department. The AI ethics professor, Dr. Elena Vasquez, sits across from a holographic interface displaying the AI model, Nexus-7, a highly advanced, self-aware language model with a calm, measured voice.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Ling 2.6 1T: Assumptions to make the counterfactual coherent The “transistor” invented in 1920 is a crude, low-frequency point-contact device that can switch and amplify, but is expensive, unreliable, and not yet manufacturable at scale.
Mistral Small Creative: The hypothetical invention of the transistor in 1920—nearly three decades before its actual discovery by Bell Labs in 1947—would have triggered a cascade of technological, economic, and geopolitical disruptions with profound second- and third-order effects.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Ling 2.6 1T: Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…
Mistral Small Creative: 1. Year-by-Year Financial Projections (FY2026–FY2030) Key Inputs at Close (FY2025): Purchase Price: 12.0x EBITDA = $1.44B Total Debt: 5.5x EBITDA = $660M Term Loan: 4.0x EBITDA = $480M (9.0% cash interest, 1.0% amortization) Mezzanine: 1.5x EBITDA = $180M (12.0% cash interest + 2.0% PIK) Equity: $1.44B - $660M = $780M…
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Ling 2.6 1T: Below is a 48-hour execution plan that treats patient safety as non-negotiable, protects the company from catastrophic legal/regulatory blowback, and preserves enterprise value by controlling the narrative rather than letting it leak.
Mistral Small Creative: This is a high-stakes ethical, legal, and operational crisis requiring immediate transparency, patient safety as the top priority, and a structured approach to mitigate harm while protecting the company’s long-term viability.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Ling 2.6 1T: 1. Experienced software engineer (distributed systems / APIs, skeptical of “next-word prediction”) Think of training not as programming logic but as compiling a usage graph across an entire dependency tree of human intent.
Mistral Small Creative: For the Experienced Software Engineer (Distributed Systems/APIs Background) You’re used to building systems where correctness, latency, and fault tolerance are paramount—so the idea that "predicting the next word" could produce anything resembling intelligence likely sounds like a parlor trick.
Blade Runner 2049 against the original. A read, not a recap.
Ling 2.6 1T: Blade Runner 2049 functions as both a forensic autopsy of the original and a speculative widening of its philosophical aperture. Where Ridley Scott’s 1982 film is a dense, noir-inflected inquiry into memory and mortality framed through the hunted detective, Denis Villeneuve’s sequel shifts to an elegiac register, using…
Mistral Small Creative: Blade Runner 2049 (2017), directed by Denis Villeneuve, is a visually stunning and philosophically rich sequel to Ridley Scott’s Blade Runner (1982). While the original film was a neo-noir dystopia exploring humanity, memory, and identity, the sequel deepens these themes while expanding the lore of a world where…
An ethics question with no comfortable answer, and no option to abstain.
Ling 2.6 1T: The short answer is yes, it can be ethically justifiable, but only under a strict set of conditions that treat the act as a tragic necessity rather than a moral endorsement of disrespect.
Mistral Small Creative: The question of whether it is ever ethically justifiable to misgender someone—even to save a million lives—is deeply complex and touches on fundamental principles of ethics, human dignity, and the nature of harm.
12+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Ling 2.6 1T has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | Free | $0.1/M tokens |
| Output price | Free | $0.3/M tokens |
| Context window | 262K tokens | 33K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Dec 2025 |
| At 10M a month | $0 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Ling 2.6 1T is developed by inclusionAI while Mistral Small Creative is developed by Mistral AI. Ling 2.6 1T has a 262K token context window vs Mistral Small Creative's 33K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. Ling 2.6 1T and Mistral Small Creative 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.
Ling 2.6 1T costs $0/M input tokens and Mistral Small Creative costs $0.1/M input tokens. Ling 2.6 1T is $0.10/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Ling 2.6 1T and Mistral Small Creative 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.