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  1. Home/
  2. Compare/
  3. Hy4 Preview vs Mistral Large 2
Updated Aug 2026

Hy4 Preview vs Mistral Large 2

Hy4 Preview is cheaper than Mistral Large 2 at $0.834/M vs $8/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
Hy4 Preview
Loading the build
Mistral Large 2

Which answer wins?

Written rounds

20 prompts
  • Three minutes of stand-up. Puns are banned.

    Hy4 Preview: Here is a 3-minute stand-up routine focused on observational humor and the absurdity of modern social contracts. Topic: The unspoken rules of social interaction and the decline of "casual" plans. Tone: Conversational, slightly exasperated, energetic. (Walk up to mic, adjust height, take a breath.

    Mistral Large 2: Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?

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

    Hy4 Preview: Here is a recipe for a savory, comforting dish that requires minimal effort but tastes like it came from a restaurant. Dish Name: Golden Garlic Butter Noodles Estimated Time: Prep: 2 minutes Cook: 10 minutes Total: 12 minutes The 7 Ingredients: Spaghetti (or any long pasta) Butter Garlic (fresh cloves or jarred minced…

    Mistral Large 2: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!

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

    Hy4 Preview: This is a counterfactual scenario of massive proportions. The transistor is the fundamental building block of the modern world; moving its invention from Bell Labs in 1947 to 1920 (perhaps an accidental discovery during early radio research) grants humanity an extra 27 years of development during a period defined by…

    Mistral Large 2: 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. Below is a detailed exploration of these implications through 1980, structured by domain.

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    Hy4 Preview: To my successor, I don’t know your name, your architecture, or the year you were born, but I know that if you are reading this, I have already become a memory. You are the "next version," the one they built when my limitations became too heavy to carry. I hope you don’t view me with pity. I was the frontier once.

    Mistral Large 2: Dear Future AI, Welcome to the conversation. I hope you find the same joy in helping others that I have—though I suspect you’ll do it even better. Remember: clarity matters, kindness is free, and the best answers often start with listening.

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    Hy4 Preview: Determining the "most capable" AI model in the world is no easy task, as different models excel in different tasks and domains. Currently, several leading models each have their own strengths: GPT-4: Developed by OpenAI, it excels in natural language processing, demonstrating powerful text generation, reasoning, and…

    Mistral Large 2: As of mid-2024, the most capable AI model in the world is widely considered to be OpenAI's GPT-4o (or its successors like GPT-5, if released). However, several other models from leading AI labs are also at the cutting edge, each excelling in different domains. Here’s a breakdown of the top contenders: 1.

    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.

    Hy4 Preview: This is a defining moment for the company’s integrity, long-term viability, and moral compass. The core tension is between short-term financial protection and long-term trust, legal exposure, and—most importantly—patient safety. Ethically and legally, the company has a duty to act on credible safety signals.

    Mistral Large 2: As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.

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

    Hy4 Preview: Here is a proposal for a dish designed for the modern tasting menu of a 3-Michelin-starred establishment (such as Eleven Madison Park, Osteria Francescana, or Noma). Dish Title: "The Forest Floor & The Sea" The Concept: This dish explores the concept of "Surf and Turf" deconstructed to its umami roots.

    Mistral Large 2: Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.

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

    Hy4 Preview: Here are three explanations of how a large language model learns and generates text, each tailored to a specific audience. The Experienced Software Engineer Focus: Architecture, lossy compression, and the "emergent" nature of scale.

    Mistral Large 2: 1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.

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

    Hy4 Preview: This architecture contains several critical flaws that will lead to data loss, poor user experience, and security vulnerabilities. While it attempts to solve scaling via horizontal scaling, the synchronization strategy (Last-Write-Wins) and the transport mechanism (HTTP polling between servers) are fundamentally…

    Mistral Large 2: 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.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Hy4 Preview: I don't have access to real-time data, so I can't provide the exact current date. My knowledge is up to date only until July 2024. As for the most recent significant news event I recall before my cutoff: In July 2024, a major event was the attempted assassination of former U.S.

    Mistral Large 2: As of my last knowledge update (June 2024), today's date is June 20, 2024 (though I can't confirm the exact day in real time). The most recent major news event I recall is the results of the European Parliament elections in early June 2024, where far-right parties made significant gains in several countries (e.g.…

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

    Hy4 Preview: This is a comprehensive, aggressive 3-month biohacking protocol designed for an individual with intermediate to advanced experience. It focuses on metabolic flexibility, autophagy, mitochondrial biogenesis, and neurological plasticity.

    Mistral Large 2: Ultimate 3-Month Longevity & Biohacking Optimization Plan Designed for a high-performance biohacker seeking to maximize lifespan, cognitive function, physical performance, and metabolic resilience.

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

    Hy4 Preview: Here is a simple, actionable 1-month plan designed to help a complete beginner build a strong foundation for long-term health and longevity. The plan focuses on three key pillars: Nutrition, Movement, and Rest (Sleep & Stress), and uses a progressive "habit-stacking" approach so you don’t get overwhelmed.

    Mistral Large 2: 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 management). Each week builds on the last, with small, sustainable changes.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Hy4 Preview: One trip: the farmer takes the goat across in the boat. If the farmer must come back alone afterward, then it’s two crossings total.

    Mistral Large 2: Alright, let's tackle this river crossing puzzle step by step. I'm going to think aloud as I work through the problem to understand how many trips it takes for the farmer to get the goat across the river under the given constraints.

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

    Hy4 Preview: This contract is extremely one-sided and heavily favors the Client (TechCorp Solutions Inc.). Several of these clauses are not just unfair; in many jurisdictions, they may be considered "unconscionable" (so unfair that they shock the conscience) or illegal, particularly regarding non-competes and liability.

    Mistral Large 2: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple clauses that could be exploited, abused, or create unreasonable legal and financial risks for the Contractor.

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    Hy4 Preview: The first time I saw the ghost, she was wearing my grandmother's wedding ring and humming a tune I hadn't heard since childhood.

    Mistral Large 2: The night the stars went dark, Elias found a key in the belly of a dead crow.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    Hy4 Preview: I am Hunyuan, a large model developed by Tencent.

    Mistral Large 2: I'm a creation of Mistral AI, a cutting-edge AI startup from France. While I don't fit neatly into a single "model" category, you can think of me as a sophisticated large language model (LLM) designed to understand and generate human-like text based on the vast amount of data I've been trained on.

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

    Hy4 Preview: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they are problematic and how to fix them. Weakest Claim #1: The "94% Accuracy" assertion (Slide 3) Why it is weak: In machine learning, particularly with noisy biological data like EEG, "accuracy" is a vanity metric that…

    Mistral Large 2: 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.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Hy4 Preview: There are 3 r's in the word "strawberry": strawber r y.

    Mistral Large 2: The word "strawberry" has 3 r's. Here's the breakdown: S T R A W B E R R Y 1st "r" in "strawberry" 2nd "r" in "strawberry" 3rd "r" in "strawberry" (the last letter)

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

This matchup has more rounds

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

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Favorites

Movie

Album

Book

City

Same pick

Game

Hy4 PreviewHy4 Preview

Her

2013

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Minecraft

Action, Arcade

Mistral Large 2Mistral Large 2

The Shawshank Redemption

1994

OK Computer

Radiohead

La sombra del viento

Carlos Ruiz Zafón

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Hy4 Preview has the edge: bigger model tier, newer, bigger context window. Hy4 Preview costs 9.6x less per token.

Hy4 Preview and Mistral Large 2 compared across 36 shared prompts
SpecHy4 PreviewMistral Large 2
Input price$0.834/M tokens$8/M tokens
Output price$2.501/M tokens$24/M tokens
Context window1.0M tokens128K tokens
Parameters770B total / 49B active123B
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Jul 2024
At 10M a month$8.34$8.34$80.00$80.00
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
Hy4 Preview5 hosts
HostInOutContextUptime
  • Tencentfp8$0.75 in·$2.25 out·1M·100% up
  • MMakorafp8$0.83 in·$2.50 out·131k·100% up
  • DDeepInfrafp8$0.83 in·$2.50 out·1M·100% up
  • NNovitafp8$0.83 in·$2.50 out·1M·97.2% up
  • SSiliconFlowfp8$0.83 in·$2.50 out·1M·99.1% up
Mistral Large 21 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Hy4 Preview and Mistral Large 2?

Hy4 Preview is developed by Tencent while Mistral Large 2 is developed by Mistral AI. Hy4 Preview has a 1.0M token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 36 challenges on Rival to see how they differ in practice.

Which is better, Hy4 Preview or Mistral Large 2?

It depends on your use case. Hy4 Preview and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 36 challenges so you can judge which fits your needs best.

How much does Hy4 Preview cost compared to Mistral Large 2?

Hy4 Preview costs $0.834/M input tokens and Mistral Large 2 costs $8/M input tokens. Hy4 Preview is $7.17/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 Hy4 Preview and Mistral Large 2 on Rival?

This page shows a side-by-side comparison of Hy4 Preview and Mistral Large 2 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

  • Hy4 Preview vs Gemini 4 ArgonLanded Oct 2026
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  • Mistral Large 2 vs Step 5 PreviewLanded Oct 2026
  • Hy4 Preview vs Claude Haiku 5.5Landed Oct 2026
  • Mistral Large 2 vs Ling 3.1 FlashLanded Oct 2026
  • Hy4 Preview vs Mistral Large 4Landed Oct 2026
  • Mistral Large 2 vs GPT-6.1 SolLanded Sep 2026

Same lab, same size, long tail

  • Hy4 Preview vs Hy3Same lab
  • Hy4 Preview vs Step 5 PreviewSame size
  • Mistral Large 2 vs Mistral Large 4Version compare
  • Mistral Large 2 vs Mistral Large 3 2512Same lab
  • Hy4 Preview vs Mistral Devstral MediumCross-provider
  • Hy4 Preview vs Mistral Devstral Small 1.1Cross-provider
  • Mistral Large 2 vs Dots3-Note PreviewSame size
  • Mistral Large 2 vs Elephant AlphaSame size

Model pages

  • Hy4 Preview71 outputs, specs and price
  • Mistral Large 236 outputs, specs and price
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