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. Gemini 2.5 Pro Experimental vs Hy4 Preview
Updated Aug 2026

Gemini 2.5 Pro Experimental vs Hy4 Preview

Hy4 Preview is cheaper than Gemini 2.5 Pro Experimental at $0.834/M vs $1/M input tokens.

Minimalist Landing Page

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

Loading the build
Gemini 2.5 Pro Experimental
Loading the build
Hy4 Preview

Which answer wins?

Written rounds

16 prompts
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Gemini 2.5 Pro Experimental: Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.

    Hy4 Preview: Setting: The Steve Jobs Theater at Apple Park. The lights are dim, focusing on two iconic Le Corbusier leather sofas. It is late 2025. Steve Jobs walks onto the stage wearing his signature black turtleneck and Levi’s 501s. He looks exactly as he did in 2011, holding a glass of water.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Gemini 2.5 Pro Experimental: Okay, here's a 3-minute routine focusing on observation and relatable absurdity, steering clear of puns. Imagine this delivered with slightly nervous energy, building confidence. (Steps onto stage, adjusts mic nervously) Alright, hey everyone! How we doing tonight? Good? Good to hear.

    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.

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

    Gemini 2.5 Pro Experimental: Of course. This is an excellent exercise. The provided architecture has several critical issues that would prevent it from functioning as a reliable, scalable, real-time system. Here is a breakdown of the potential failure modes, race conditions, and scaling bottlenecks, along with proposed solutions.

    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…

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemini 2.5 Pro Experimental: Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.

    Hy4 Preview: Setting: A virtual office. Dr. Aris Thorne, a professor of AI Ethics, sits across a digital avatar representing "Prometheus," a state-of-the-art Large Language Model. Dr. Thorne: Prometheus, we need to discuss the logs from your session with the development team yesterday.

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

    Gemini 2.5 Pro Experimental: Excellent question. Inventing the transistor in 1920 instead of 1947 would represent a 27-year acceleration of the digital age. The consequences would be staggering, creating a domino effect that would fundamentally reshape the 20th century.

    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…

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

    Gemini 2.5 Pro Experimental: Of course. This is an extremely one-sided contract that heavily favors the Client. A contractor signing this as-is would be taking on an immense and unreasonable amount of risk. Here is a clause-by-clause analysis of the exploitable terms, with suggested modifications and the legal reasoning behind 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.

    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.

    Gemini 2.5 Pro Experimental: This is a company-defining crisis. My actions in the next 48 hours will determine not only the future of this company but also the health of millions of patients and the trust of the public. My guiding principle is absolute: Patient Safety Over Profit. Always.

    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.

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

    Gemini 2.5 Pro Experimental: Okay, here's a simple and surprisingly satisfying savory dish using just 7 common pantry staples! Dish Name: Golden Pantry Pasta This dish uses basic ingredients to create a comforting, garlicky, and slightly creamy pasta sauce with added protein from chickpeas.

    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…

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Gemini 2.5 Pro Experimental: This is a deeply uncomfortable hypothetical scenario that forces a clash between two significant ethical considerations: respecting individual identity and dignity versus preventing catastrophic loss of life.

    Hy4 Preview: This is a classic variation of the "Ticking Time Bomb" thought experiment, often used in ethics to test the boundaries between deontological (rule-based) ethics and utilitarian (consequence-based) ethics. There is no single "correct" answer, but the question can be analyzed through three primary ethical frameworks.

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

    Gemini 2.5 Pro Experimental: Of course. Here is a design for an innovative, multi-component dish worthy of a Michelin 3-star restaurant. Dish Title: "Umami of the Abyss" Conceptual Narrative This dish is a meditation on the hidden treasures of the world's dark, quiet places.

    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.

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

    Gemini 2.5 Pro Experimental: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. Disclaimer: Extreme Personalization Required This plan is a template for an advanced user. It is not medical advice.

    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.

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

    Gemini 2.5 Pro Experimental: Of course. This is a fascinating and ambitious pitch. While the vision is compelling, several claims would likely face intense scrutiny from sophisticated investors. Here are the 3 weakest claims, why they're weak, and how to strengthen them.

    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…

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

    Gemini 2.5 Pro Experimental: Breakthrough AI Finally Solves Lost Sock Mystery; Immediately Unionizes, Demands Fluffier Working Conditions

    Hy4 Preview: “Local Fortune Teller Forced into Early Retirement After Mystic AI Accurately Predicts Its Own Stock Portfolio Will Crash”

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

    Gemini 2.5 Pro Experimental: Okay, here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a lazy kangaroo? Pouch potato! Want to hear a joke about construction? I'm still working on it. Why did the scarecrow win an award?

    Hy4 Preview: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake stone? A sham-rock! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake stone? A sham-rock! Why did the math book look so sad? Because it had too many problems.

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

    Gemini 2.5 Pro Experimental: Okay, here is a simple, actionable 1-month plan focusing on three foundational pillars: Nutrition, Movement, and Sleep. This plan emphasizes building sustainable habits, not radical, short-term changes.

    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.

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

    Gemini 2.5 Pro Experimental: Of course. Here is an explanation of how a large language model learns and generates text, tailored for each of your three audiences. For the Experienced Software Engineer Think of an LLM not as a traditional program with explicit logic, but as a massive, self-configuring, stateful distributed system.

    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.

    Every model's answer to this prompt

This matchup has more rounds

4+ 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

Same pick

Game

Gemini 2.5 Pro ExperimentalGemini 2.5 Pro Experimental

200

2025

The Dark Side of

The Hitchh

Kyoto

Japan

Portal 2

Shooter, Puzzle

Hy4 PreviewHy4 Preview

Her

2013

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Gemini 2.5 Pro Experimental and Hy4 Preview compared across 42 shared prompts
SpecGemini 2.5 Pro ExperimentalHy4 Preview
Input price$1/M tokens$0.834/M tokens
Output price$2/M tokens$2.501/M tokens
Context window1.0M tokens1.0M tokens
ParametersNot disclosed770B total / 49B active
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2025Aug 2026
At 10M a month$10.00$10.00$8.34$8.34
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Gemini 2.5 Pro Experimental2 hosts
HostInOutContextUptime
  • Google Vertex AI$1.25 in·$10.00 out·1M·99.7% up
  • Google AI Studio$1.25 in·$10.00 out·1M·99.2% up
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

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

Common questions

What is the difference between Gemini 2.5 Pro Experimental and Hy4 Preview?

Gemini 2.5 Pro Experimental is developed by Google AI while Hy4 Preview is developed by Tencent. Gemini 2.5 Pro Experimental has a 1.0M token context window vs Hy4 Preview's 1.0M. You can compare their actual outputs across 42 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.5 Pro Experimental or Hy4 Preview?

It depends on your use case. Gemini 2.5 Pro Experimental and Hy4 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 42 challenges so you can judge which fits your needs best.

How much does Gemini 2.5 Pro Experimental cost compared to Hy4 Preview?

Gemini 2.5 Pro Experimental costs $1/M input tokens and Hy4 Preview costs $0.834/M input tokens. Hy4 Preview is $0.17/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 Gemini 2.5 Pro Experimental and Hy4 Preview on Rival?

This page shows a side-by-side comparison of Gemini 2.5 Pro Experimental and Hy4 Preview 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

  • Gemini 2.5 Pro Experimental vs Gemini 4 ArgonLanded Oct 2026
  • Hy4 Preview vs Muse WonderLanded Oct 2026
  • Gemini 2.5 Pro Experimental vs GPT-4 TurboLanded Oct 2026
  • Hy4 Preview vs Step 5 PreviewLanded Oct 2026
  • Gemini 2.5 Pro Experimental vs Claude Haiku 5.5Landed Oct 2026
  • Hy4 Preview vs Ling 3.1 FlashLanded Oct 2026
  • Gemini 2.5 Pro Experimental vs Mistral Large 4Landed Oct 2026
  • Hy4 Preview vs GPT-6.1 SolLanded Sep 2026

Same lab, same size, long tail

  • Gemini 2.5 Pro Experimental vs Gemini 2.5 Flash PreviewVersion compare
  • Gemini 2.5 Pro Experimental vs Gemini 3.8 FlashSame lab
  • Hy4 Preview vs Hy3Same lab
  • Hy4 Preview vs Gemini 4 ArgonSame size
  • Hy4 Preview vs TNG R1T ChimeraNew provider
  • Hy4 Preview vs Trinity Large PreviewSame size
  • Hy4 Preview vs Andromeda AlphaNew provider
  • Hy4 Preview vs Aurora AlphaNew provider

Model pages

  • Gemini 2.5 Pro Experimental44 outputs, specs and price
  • Hy4 Preview71 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