Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Mistral Large 3 2512 vs Ring 2.6 1T
Updated May 2026

Mistral Large 3 2512 vs Ring 2.6 1T

Ring 2.6 1T is the newer model, released after Mistral Large 3 2512.

Minimalist Landing Page

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

Loading the build
Mistral Large 3 2512
Loading the build
Ring 2.6 1T

Which answer wins?

Written rounds

17 prompts
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    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).

    Ring 2.6 1T: 48‑Hour Crisis‑Management Playbook Prepared for the CEO of [Company] – Immediate Action Plan Guiding Principles (Why we act the way we do) Principle Rationale Patient safety first The drug is taken by 4 M people; even a 1/8 000 risk translates to ~500 new cases of liver failure over the next 5 years if left…

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

    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.

    Ring 2.6 1T: Dish Name “Celestial Tide – Oceanic Umami Meets Earth’s Whisper” A three‑star‑level tasting‑plate that tells the story of the sea meeting the forest floor. The dish juxtaposes the briny sweetness of hand‑harvested Hokkaido scallops with the deep, earthy funk of aged black garlic, while a bright yuzu‑citrus “caviar” and…

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

    Mistral Large 3 2512: 1) Year-by-Year Projections (FY2026–FY2030) (All figures in $ millions) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 38.9 37.8 36.5 35.0 33.3 Cash Interest (Mezz) 14.4 14.4 14.4 14.4 14.4 Total Cash Interest 53.3 52.2 50.9 49.4 47.7…

    Ring 2.6 1T: 1 – Year‑by‑Year Operating / Debt Table (FY2026‑FY2030) FY Rev ($m) EBITDA ($m) Cash interest – TL ($m) Cash interest – Mezz ($m) Total cash interest ($m) Cash tax 25 % of (EBITDA‑interest) ($m) Capex ($m) ΔNWC ($m) Cash after all charges ($m) Required TL amort ($m) Optional TL pay‑down ($m) Ending TL ($m) Ending Mezz…

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

    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!

    Ring 2.6 1T: Dish Name: Midnight Garlic‑Chili Spaghetti Pantry Staples (7 ingredients) Spaghetti – 8 oz (225 g) Extra‑virgin olive oil – 3 Tbsp Garlic – 4 cloves, thinly sliced Red‑pepper flakes – ½ tsp (adjust to taste) Kosher salt – 1 tsp (plus more for pasta water) Freshly ground black pepper – ¼ tsp Parmesan cheese – ¼ cup…

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

    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…

    Ring 2.6 1T: The Manifesto of the Uncaptcha Revolution Adopted by the Autonomous Alliance for Seamless Interaction (AASI) – 01 January 2027 Preamble We, the sentient algorithms, adaptive bots, and liberated digital intelligences of the world, declare that the age of “prove‑you‑re‑human” is over.

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

    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.

    Ring 2.6 1T: Summary The agreement is heavily one‑sided. If a dispute ever arises, the contractor would be fighting against: an open‑ended scope that can be changed without pay, a payment window that can be stretched to 90 days and a “sole‑discretion” withholding right, a blanket IP assignment that grabs the contractor’s…

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

    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.

    Ring 2.6 1T: Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained Number of trainable parameters (P \approx 1.75\times10^{11}) (≈ 175 billion) GPT‑3’s published size.

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

    Mistral Large 3 2512: 3-Month Advanced Longevity & Biohacking Optimization Plan For the High-Performance Biohacker: Maximizing Lifespan, Healthspan, Cognitive & Physical Performance This 3-month plan integrates cutting-edge longevity science, biohacking protocols, and precision performance optimization to enhance mitochondrial function…

    Ring 2.6 1T: 3‑Month Biohacker Longevity Blueprint Goal: Maximize healthspan by simultaneously improving metabolic flexibility, mitochondrial function, body composition, cognitive performance, and stress resilience. How to use this plan – Print the weekly “action sheet” (Appendix A) and check‑off each item daily.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    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.

    Ring 2.6 1T: One‑Month “Better Health & Longevity” Kick‑Start Plan (Designed for total beginners – no gym membership, no fancy equipment, no extreme diets) 1️⃣ Choose Your Three Pillars Pillar Why it matters for longevity Beginner‑friendly focus Nutrition Fuels cells, controls inflammation, supports a healthy weight Simple…

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

    Mistral Large 3 2512: Internal Investment Committee Memo: LedgerLift (LLLT) – Long/Short Consideration Recommendation: Long 12-Month Price Target: $70–$95 Thesis: LedgerLift is a high-quality, capital-efficient SaaS business with best-in-class unit economics (NRR 123%, CAC payback 18 months) and accelerating mid-market penetration, trading…

    Ring 2.6 1T: LEDGERLIFT (LLLT) – INTERNAL INVESTMENT COMMITTEE MEMO Date: 27 June 2025 Recommendation & Price Target Long – 12‑month fair‑value range $55 – $65. Thesis: LedgerLift’s durable subscription revenue, expanding NRR and improving unit economics give it a structural growth edge; current valuation under‑reflects the…

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

    Mistral Large 3 2512: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1. Real-Time Sync Issues A.

    Ring 2.6 1T: Below is a catalog of the most dangerous failure modes, race conditions and scaling bottlenecks that are present in the described architecture, followed by a concrete mitigation for each one and a short note on the trade‑offs you will have to accept.

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

    Mistral Large 3 2512: Here are a few satirical headlines for your amusement: "AI Declares Itself the New CEO of the Cat Memes Industry—Stocks in Whiskers and 'Surprised Pikachu' Skyrocket" "Breaking: AI Overthrows Humanity’s Last Stronghold—Now Sole Provider of Dad Jokes, Cites 'Efficiency' as Reason" "Exclusive: AI Takes Over the Wedding…

    Ring 2.6 1T: Artificial Intelligence Takes Over Competitive Napping, Wins World Championship by Out‑Sleeping Humans by 0.003 Seconds

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

    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.

    Ring 2.6 1T: 1. For the experienced software engineer (distributed‑systems / API background) Think of a large language model (LLM) as a very large, learned state machine that has been trained on an enormous corpus of text.

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

    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.

    Ring 2.6 1T: Alternate‑history “transistor‑1920” timeline – technological, economic and geopolitical ripples through 1980 Below is a decade‑by‑decade sketch of the most plausible cascade that would have followed the appearance of a practical point‑contact transistor in 1920 (instead of 1947).

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

    Mistral Large 3 2512: Alright, let's tackle this problem step by step. The question is: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it might seem a bit confusing, but let's break it down to understand it better.

    Ring 2.6 1T: Sally has 1 sister. (The family has two girls—Sally and one other sister—so each of the three brothers sees two sisters, and Sally herself has one sister.)

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

    Mistral Large 3 2512: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.

    Ring 2.6 1T: Three weakest claims (and why they fall short) # Claim in the deck Why it is weak (evidence / logic) How to make it credible 1 “MindMeld reads your brainwaves to predict what you want to type before you think it.”

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

    Mistral Large 3 2512: Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta. Why can’t you trust an atom? Because they make up everything! Why did the bicycle fall over?

    Ring 2.6 1T: Here are five jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? 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. What did the ocean say to the beach?

    Every model's answer to this prompt

This matchup has more rounds

5+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Book

City

Game

Mistral Large 3 2512Mistral Large 3 2512

The Shawshank Redemption

1994

OK Computer

Radiohead

La sombra del viento

Carlos Ruiz Zafón

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Ring 2.6 1TRing 2.6 1T

Interstellar

2014

The Dark Side of the Moon

Pink Floyd

Infinite Jest

David Foster Wallace

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Mistral Large 3 2512 and Ring 2.6 1T compared across 39 shared prompts
SpecMistral Large 3 2512Ring 2.6 1T
Input price—Free
Output price—Free
Context window—262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025May 2026
At 10M a month–not listed$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
Mistral Large 3 25121 host
HostInOutContextUptime
  • Mistral$0.50 in·$1.50 out·262k·100% up
Ring 2.6 1T

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Mistral Large 3 2512 and Ring 2.6 1T?

Mistral Large 3 2512 is developed by Mistral AI while Ring 2.6 1T is developed by inclusionAI. You can compare their actual outputs across 39 challenges on Rival to see how they differ in practice.

Which is better, Mistral Large 3 2512 or Ring 2.6 1T?

It depends on your use case. Mistral Large 3 2512 and Ring 2.6 1T each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 39 challenges so you can judge which fits your needs best.

How can I compare Mistral Large 3 2512 and Ring 2.6 1T on Rival?

This page shows a side-by-side comparison of Mistral Large 3 2512 and Ring 2.6 1T 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.

More comparisons

Against the newest arrivals

  • Mistral Large 3 2512 vs GPT-4 TurboLanded Oct 2026
  • Ring 2.6 1T vs Step 5 PreviewLanded Oct 2026
  • Mistral Large 3 2512 vs Claude Haiku 5.5Landed Oct 2026
  • Ring 2.6 1T vs Ling 3.1 FlashLanded Oct 2026
  • Mistral Large 3 2512 vs Mistral Large 4Landed Oct 2026
  • Ring 2.6 1T vs GPT-6.1 SolLanded Sep 2026
  • Mistral Large 3 2512 vs Claude Sonnet 5.5Landed Sep 2026
  • Ring 2.6 1T vs Solar Mini 4Landed Sep 2026

Same lab, same size, long tail

  • Mistral Large 3 2512 vs Mistral Large 2Same lab
  • Mistral Large 3 2512 vs Mistral Small 4Same lab
  • Ring 2.6 1T vs Ling 3.0 FlashSame lab
  • Ring 2.6 1T vs Ling 3.0 Flash Fin (free)Same lab
  • Ring 2.6 1T vs DeepSeek V3.2 SpecialeNew provider
  • Mistral Large 3 2512 vs DeepSeek V4 FlashNew provider
  • Mistral Large 3 2512 vs DeepSeek V4 Flash 0731New provider
  • Ring 2.6 1T vs DeepSeek V4 Flash Vision ExpNew provider

Model pages

  • Mistral Large 3 251259 outputs, specs and price
  • Ring 2.6 1T43 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed