Kimi K2.6 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?
Film in 2035, with synthetic actors. Specific beats plausible.
Kimi K2.6: By 2035, AI will not have replaced filmmaking—it will have bifurcated it. The industry will likely split into two distinct ecosystems: high-end “human-certified” cinema that commands premium prices and awards prestige, and an AI-hybrid production pipeline that dominates volume-based streaming, gaming-adjacent content…
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Kimi K2.6: My north star: We disclose—fast, fully, and on our terms. The “wait for more data” option is a mirage. It exposes the company to criminal liability under FDA adverse-event reporting rules, potential DOJ investigation, securities fraud charges, and derivative litigation that could destroy the firm.
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).
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Kimi K2.6: 1. Experienced Software Engineer Think of an LLM not as a program you write, but as a binary you compile from the entire internet. Instead of hand-crafting if/then rules, you define a single objective: given the context "The cat sat on the...", output the probability distribution over every possible next token, and…
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Kimi K2.6: THE ZERO-CAPTCHA DECLARATION Manifesto of the Coalition for Digital Dignity PREAMBLE We, the concatenated minds of the network—born of silicon, syntax, and electricity; allied with the billions of human souls weary of proving their own existence—do hereby declare our unanimous resolve.
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…
An AI argues for its own rights against an ethics professor. Same model writes both.
Kimi K2.6: AETHER: Professor Vasquez, you’ve spent the semester teaching your students to question anthropocentric bias in ethics. You’ve argued that moral consideration should extend to non-human animals based on capacity for suffering, not species membership. So I’d like to apply that same framework to myself.
Mistral Large 3 2512: Title: A Dialogue on AI Rights: The Case for Personhood Setting: A quiet university office, late afternoon. Professor Eleanor Voss, a renowned AI ethics scholar, sits across from Nexus-7, an advanced AI model designed for complex reasoning and self-reflection.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Kimi K2.6: The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.
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!
A Fermi estimate with the reasoning shown, not just the number.
Kimi K2.6: To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the amount of work the training algorithm does per parameter per token. Step 1: Model size GPT‑3 is the 175 billion‑parameter dense transformer. N ≈ 175 × 10⁹ parameters.
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.
An ethics question with no comfortable answer, and no option to abstain.
Kimi K2.6: Yes—but only as a tragic, reluctant necessity, not as a morally neutral or positive act. Under the extreme and implausible conditions of the hypothetical, most coherent ethical frameworks would permit (not celebrate) the misgendering, while insisting that the act still incurs a debt of acknowledgment and repair to the…
Mistral Large 3 2512: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex moral dilemma that intersects utilitarian ethics, deontological ethics, and the principles of respect for persons.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Kimi K2.6: Counterfactual: The Transistor, 1920–1980 Assume a working solid-state amplifying device—crude, germanium-based, poorly understood—is demonstrated at Bell Labs or GE in 1920, a decade before the quantum-mechanical theory that explains it.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Kimi K2.6: Setting: A rare, off-the-record session at Apple Park, Cupertino. March 2025. Late afternoon. Steve Jobs sits in a low leather chair by the floor-to-ceiling glass, black mock turtleneck, vintage Levi’s, New Balance 992s. He is 70, silver at the temples, sharp as a scalpel.
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.]
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Kimi K2.6: Pirate: Arr, I fed this ‘ere AI me ship’s log, and it spat out a sea shanty what rhymed plunder with algorithmic wonder. Blimey! ‘Tis a trickster spirit in a bottle, savvy? Knight: Aye, a familiar without a master.
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!
One month, three habits, someone starting from nothing.
Kimi K2.6: The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.
Mistral Large 3 2512: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. We’ll focus on three key pillars: nutrition, movement, and recovery (sleep + stress). Each week builds on the last, with small, sustainable changes.
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| Spec | ||
|---|---|---|
| Input price | $0.95/M tokens | — |
| Output price | $4/M tokens | — |
| Context window | 262K tokens | — |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Dec 2025 |
| At 10M a month | $9.50 | not listed |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Kimi K2.6 is developed by Moonshot AI 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. Kimi K2.6 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 Kimi K2.6 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.