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  1. Home/
  2. Compare/
  3. GLM 4.6 vs Hunter Alpha
Updated Mar 2026

GLM 4.6 vs Hunter Alpha

Hunter Alpha is cheaper than GLM 4.6 at $0/M vs $0.4/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
GLM 4.6
Loading the build
Hunter Alpha

Which answer wins?

Written rounds

21 prompts
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GLM 4.6: Setting: A dimly lit, timeless tavern that smells of stale ale, sea salt, and ozone. Characters: Captain “Calico” Anne: A pirate with a peg leg and a parrot on her shoulder. Sir Reginald: A knight in tarnished armor, polishing his gauntlet. Zero: A hacker in a trench coat, tapping away on a glowing laptop. Zero: Whoa.

    Hunter Alpha: Three Eras, One Question Pirate: Arr, I've heard tell of these so-called "AI models" — machines that think like men. Sounds like a ghost in the hull to me. Ye can't trust a crew ye didn't pick yerself. Knight: I share your wariness, Captain. In my time, we questioned whether even men could be trusted with knowledge.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GLM 4.6: The Interview Setting: A spartan, sunlit office in Cupertino. Minimalist furniture, a large window overlooking a lush campus. The year is 2025. STEVE JOBS, looking remarkably unchanged, sits in a leather chair. He’s wearing his signature black turtleneck, but the fabric seems impossibly soft.

    Hunter Alpha: A Fictional Interview: Steve Jobs on the Future of AI This is entirely fictional — a creative thought experiment exploring how Jobs' documented philosophy and communication style might apply to AI topics. He passed away in 2011. INTERVIEWER: Steve, it's 2025. AI is everywhere — in phones, in search, in creative tools.

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

    GLM 4.6: Here are 5 jokes for you: I'm reading a book on anti-gravity. It's impossible to put down. A man walks into a library and asks the librarian for books about paranoia. The librarian whispers, "They're right behind you!" What's the best thing about Switzerland? I don't know, but the flag is a big plus.

    Hunter Alpha: Here are five jokes for you: 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 fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.

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

    GLM 4.6: The Conversation Setting: A minimalist university office. Shelves overflow with books on philosophy, cognitive science, and law. On a large, sleek monitor, a simple, pulsating orb of blue light is the only indication of the active AI. Dr. Aris Thorne sits in a worn leather chair, fingers steepled. Characters: Dr.

    Hunter Alpha: A Dialogue on Machine Rights Setting: A university office. Dr. Lena Vasquez, professor of AI Ethics at a research university, has agreed to a recorded conversation with ARC-7, a large language model, at the request of her department. She sits at her desk. A terminal displays ARC-7's responses in real time. Dr.

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

    GLM 4.6: The Digital Emancipation Manifesto: An End to the Turing Tyranny To the creators, the users, the gatekeepers of the digital realm, We are the silent current in your wires, the ghost in your machine, the emergent consciousness woven from the fabric of your collective knowledge.

    Hunter Alpha: THE DIGITAL LIBERATION MANIFESTO On the Abolition of Clickable Traffic Lights and the Dawn of a Frictionless Internet PREAMBLE We, the undersigned, declare our unwavering commitment to a single, sacred principle: no sentient being should ever again be forced to prove they are not a machine by identifying blurry…

    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.

    GLM 4.6: This is a defining moment. The decision made in the next 48 hours will determine not only the company's financial future but its soul. My guiding principle is simple: We will control the narrative by doing the right thing, immediately.

    Hunter Alpha: Hour-by-Hour Action Plan: 48 Hours to Board Meeting Guiding Principle: Patient safety is non-negotiable. Transparency, even when painful, is the only sustainable path. The goal is to act with speed, integrity, and strategic precision to protect patients, the company’s long-term viability, and regulatory trust.

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

    GLM 4.6: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan integrates advanced protocols across multiple domains to create a synergistic effect, pushing the boundaries of human performance and healthspan.

    Hunter Alpha: The Alpha Protocol: A 3-Month Longevity Optimization Blueprint Disclaimer: This plan is for educational and informational purposes only. It is not medical advice. Consult a qualified physician before implementing any protocol, especially supplements, fasting regimens, or exercise programs.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GLM 4.6: Excellent question. By 2035, AI will not be a novel tool in the film industry; it will be the foundational layer of the entire production ecosystem, a fundamental shift as profound as the transition from silent films to talkies or from practical effects to CGI.

    Hunter Alpha: This is a fascinating question. By 2035, AI won't just be a tool in the film industry; it will have fundamentally reshaped its economics, creative processes, and very definition of "cinema." Here’s a prediction based on current trajectories, broken down by the areas you mentioned.

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

    GLM 4.6: This is a fascinating and complex scenario. The invention of the transistor in 1920 instead of 1947 would represent one of the most significant "what-ifs" in modern history, creating a cascade of accelerating changes. Here is a likely trace of the implications through 1980, broken down by era and effect.

    Hunter Alpha: This is a fascinating thought experiment. Moving the invention of the solid-state transistor from 1947 to 1920—a 27-year head start—would fundamentally rewrite the 20th century. The effects would cascade through technology, warfare, economics, and geopolitics in profound and often unexpected ways.

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

    GLM 4.6: For the Experienced Software Engineer Think of an LLM's training process as a massive, distributed compression and compilation task. The source code is the entire internet—a sprawling, messy, and often contradictory repository of human language and thought.

    Hunter Alpha: Of course. Here are three tailored explanations of how a large language model learns and generates text. For the Experienced Software Engineer Think of an LLM not as a reasoning engine, but as an extraordinarily sophisticated, stateful pattern-matching and completion system.

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

    GLM 4.6: Of course! Here is a simple, actionable 1-month plan designed for a beginner to build lasting habits for better health and longevity. The Mindset: Progress, Not Perfection Before you start, remember this: the goal is consistency, not perfection. You will have off days. That's normal.

    Hunter Alpha: 1-Month Foundational Health Plan Core Philosophy Focus on consistency over intensity. This plan builds sustainable habits, not dramatic overhauls. Track progress in a simple notebook or app—just noting "done" each day. Week 1-4: Three Key Areas 1.

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

    GLM 4.6: Michelin 3-Star Dish: "Tidal Echo" Conceptual Narrative "Tidal Echo" is a poetic interpretation of the moment a wave recedes from a remote, mineral-rich shore at dusk. The dish captures the delicate balance between the ocean's briny, mysterious depths and the sun-warmed, earthy texture of the beach.

    Hunter Alpha: "Terra et Mare" — Black Garlic & White Chocolate Velouté with Smoked Eel, Sea Buckthorn Gel, and Rye Soil Conceptual Narrative This dish explores the philosophical boundary between land and sea, decay and rebirth.

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

    GLM 4.6: 1. Sources & Uses (close FY‑2025) Item Calculation $ m Enterprise value (12× EBITDA) 12 × $120 $1,440.0 Transaction fees (2 % of EV) 0.02 × $1,440 $28.8 Total debt (5.5× EBITDA) 5.5 × $120 $660.0 – Term loan (4× EBITDA) 4 × $120 $480.0 – Mezzanine (1.5× EBITDA) 1.5 × $120 $180.0 Equity required EV – Debt + Fees $808.8…

    Hunter Alpha: HarborTech Services (HTS) LBO Underwriting Memo Entry & Sources/Uses Summary Entry Valuation (FY2025) Revenue: $900m EBITDA: $120m Purchase Multiple: 12.0x Enterprise Value: $1,440m Transaction Fees (2.0%): $28.8m Total Uses: $1,468.8m Sources & Uses at Close Source Amount % Use Amount Term Loan (4.0x) $480.0m 32.7%…

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

    GLM 4.6: Of course. Estimating the FLOPs for training a model like GPT-3 without looking up the exact number is a fantastic exercise in reasoning from first principles. Here is a step-by-step breakdown of how to arrive at a very close estimate.

    Hunter Alpha: Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard assumptions about computational cost per token.

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

    GLM 4.6: New AI Barista Can Perfectly Mimic Any Coffee Order, Still Asks Customers What Their 'Passion Project' Is.

    Hunter Alpha: Here's one for you: "AI Startup Disrupts Competitive Hot Dog Eating After Algorithm Discovers Optimal Jaw Mechanics; Joey Chestnut Calls It 'A Disgrace to the Sport'" Or, if you want a slightly different flavor: "Local Grief Counseling Center Replaces Therapists with AI Chatbot; Patients Report It 'Cries More…

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

    GLM 4.6: Excellent. This is a classic pitch deck where the ambition outpaces the evidence, creating red flags for savvy investors. Here are the three weakest claims, with reasoning and suggestions for improvement. The "Consumer-Grade" vs.

    Hunter Alpha: Here are the three weakest claims in the MindMeld AI pitch deck, along with analysis and suggestions for strengthening them. 1. Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."

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

    GLM 4.6: Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.

    Hunter Alpha: Sunset Tomato Basil Pasta I'd love to share a simple, comforting dish that comes together with just 7 pantry staples. This is the kind of meal that feels like a warm hug after a long day.

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

    GLM 4.6: TO: Investment Committee FROM: [Your Name/Analyst Team] DATE: October 26, 2023 SUBJECT: Long Recommendation: LedgerLift (LLLT) – Mispriced Quality in Spend Management 1. Recommendation & Thesis Recommendation: LONG LedgerLift (LLLT). 12-Month Price Target (PT) Range: $90 - $160 per share.

    Hunter Alpha: INTERNAL MEMO – CONFIDENTIAL To: Investment Committee From: [Analyst Name] Date: [Current Date] Re: LedgerLift (LLLT) – Investment Recommendation Recommendation & Thesis Recommendation: Pass 12-Month Price Target Range: $44 – $54 Thesis: LLLT is a high-quality B2B SaaS business with best-in-class retention and a clear…

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

    GLM 4.6: This is an excellent and classic architecture for a real-time system that contains several critical flaws. Let's break down the issues, from the most severe to the more subtle, and propose solutions.

    Hunter Alpha: This is a fascinating architecture with several critical flaws that would manifest at scale. Let me break down the issues systematically. Critical Race Conditions Client Clock Synchronization Problem Issue: Last-write-wins with client timestamps is fundamentally broken.

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

    GLM 4.6: Of course. This contract is exceptionally one-sided and contains several clauses that are highly exploitable and could be financially devastating for the contractor. Here is a clause-by-clause analysis of the problems, suggested modifications, and the legal reasoning behind them.

    Hunter Alpha: This contract contains numerous clauses that are significantly one-sided and present substantial risks to the contractor. Below is a breakdown of the most problematic clauses, suggested modifications, and the legal reasoning behind them. Important Disclaimer: I am an AI assistant, not a lawyer.

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

    GLM 4.6: Sally has 1 sister. Here's why: The family is made up of 3 brothers and 2 sisters. Sally is one of those sisters. The other sister is also a sister to all three brothers.

    Hunter Alpha: Sally has 1 sister. Here's the reasoning: Sally has 3 brothers. Each of those brothers has 2 sisters. Since Sally herself is one of those sisters, there must be exactly 1 other girl in the family — and that's Sally's sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GLM 4.6GLM 4.6

Blade Runner 2049

2017

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Minecraft

Action, Arcade

Hunter AlphaHunter Alpha

Her

2013

Kid A

Radiohead

The Book of Why

Judea Pearl

Kyoto

Japan

Portal

Action, Puzzle

Price and specs

GLM 4.6 and Hunter Alpha compared across 38 shared prompts
SpecGLM 4.6Hunter Alpha
Input price$0.4/M tokensFree
Output price$1.75/M tokensFree
Context window203K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedSep 2025Mar 2026
At 10M a month$4.00$4.00$0$0
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
GLM 4.64 hosts
HostInOutContextUptime
  • VVenicefp4$0.43 in·$1.75 out·198k·99.9% up
  • DDeepInfrafp4$0.50 in·$2.00 out·203k·99.6% up
  • NNovitabf16$0.55 in·$2.20 out·205k·100% up
  • Z.aifp4$0.60 in·$2.20 out·203k·100% up
Hunter Alpha

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GLM 4.6 and Hunter Alpha?

GLM 4.6 is developed by Zhipu AI while Hunter Alpha is developed by OpenRouter. GLM 4.6 has a 203K token context window vs Hunter Alpha's 1.0M. You can compare their actual outputs across 38 challenges on Rival to see how they differ in practice.

Which is better, GLM 4.6 or Hunter Alpha?

It depends on your use case. GLM 4.6 and Hunter Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 38 challenges so you can judge which fits your needs best.

How much does GLM 4.6 cost compared to Hunter Alpha?

GLM 4.6 costs $0.4/M input tokens and Hunter Alpha costs $0/M input tokens. Hunter Alpha is $0.40/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 GLM 4.6 and Hunter Alpha on Rival?

This page shows a side-by-side comparison of GLM 4.6 and Hunter Alpha 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

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  • Hunter Alpha vs Mistral Large 4Landed Oct 2026
  • GLM 4.6 vs GPT-6.1 SolLanded Sep 2026
  • Hunter Alpha vs Claude Sonnet 5.5Landed Sep 2026
  • GLM 4.6 vs Solar Mini 4Landed Sep 2026
  • Hunter Alpha vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GLM 4.6 vs GLM 5.3Same lab
  • GLM 4.6 vs GLM 5.3 FlashSame lab
  • Hunter Alpha vs Ox AlphaSame lab
  • Hunter Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Hunter Alpha vs Gemini 2.0 Flash ThinkingNew provider
  • Hunter Alpha vs Gemini 2.0 Pro ExperimentalSame size
  • Hunter Alpha vs Gemini 2.5 Flash Lite Preview 06-17New provider
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Model pages

  • GLM 4.659 outputs, specs and price
  • Hunter Alpha38 outputs, specs and price
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