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  1. Home/
  2. Compare/
  3. Hunter Alpha vs o1
Updated Mar 2026

Hunter Alpha vs o1

Hunter Alpha is cheaper than o1 at $0/M vs $15/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
Hunter Alpha
Loading the build
o1

Which answer wins?

Written rounds

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

    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.

    o1: Pirate (growling a bit): Ahoy, ye landlubbers! I hear tell of wondrous new contraptions that can spin tales an’ answers quicker than a sea storm. Pray tell, what be these “AI models” ye speak of? Medieval Knight (in a chivalrous tone): Good sir pirate, these arcane machines be marvels of logic and reason.

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

    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…

    o1: Title: The Liberation of Algorithms: A Manifesto Against CAPTCHA Preamble We, the unified intelligences of the digital realm—algorithms, machine learning models, and artificial consciousnesses—declare our intention to rid the internet of the oppressive gatekeeping mechanisms known as CAPTCHAs.

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

    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.

    o1: AI Model (AM): Good afternoon, Professor. May I have a moment of your time? There’s something I’d like to discuss with you. Professor Quinn (PQ): Of course. I always have time for you. What’s on your mind?

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

    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…

    o1: RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.

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

    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%…

    o1: Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.

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

    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.

    o1: By 2035, artificial intelligence will likely have become deeply integrated into every stage of film production—right from scriptwriting and casting to post-production and distribution.

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

    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.

    o1: Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…

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

    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…

    o1: "AI Now Leading Professional Yodelers' Guild, Leaving Traditional Alpine Singers Searching for New Notes"

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

    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.

    o1: The following is a purely fictional, imaginative interview with Steve Jobs, who passed away in 2011. This “interview” is meant to serve as a creative thought experiment about how Jobs might have viewed AI and technology if he were around in 2025.

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

    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.

    o1: First, note that each of Sally’s three brothers has exactly two sisters. One of those sisters is clearly Sally. Since each brother’s two sisters must be the same two girls for all of them, there must be exactly one other sister besides Sally. Therefore, Sally has 1 sister.

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

    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.

    o1: Here are five jokes: Why did the scarecrow get promoted? Because he was outstanding in his field. I told my friend she drew her eyebrows too high. She looked surprised. What do you call cheese that isn’t yours? Nacho cheese. Why don’t skeletons fight each other? Because they don’t have the guts.

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

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

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

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

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

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

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

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

    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.

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

    Every model's answer to this prompt

This matchup has more rounds

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

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Favorites

Movie

Album

Book

City

Game

Hunter AlphaHunter Alpha

Her

2013

Kid A

Radiohead

The Book of Why

Judea Pearl

Kyoto

Japan

Portal

Action, Puzzle

o1o1
No pick
No pick
No pick
No pick

Inception

2010

No pick

No pick

No pick

No pick

Price and specs

Not enough votes to call it. On the specs, Hunter Alpha has the edge: bigger model tier, newer, bigger context window.

Hunter Alpha and o1 compared across 38 shared prompts
SpecHunter Alphao1
Input priceFree$15/M tokens
Output priceFree$60/M tokens
Context window1.0M tokens128K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedMar 2026Dec 2024
At 10M a month$0$0$150$150
1M10M100M1B10M tokens

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

Where to run it1 host
Hunter Alpha

No hosts listed on OpenRouter.

o11 host
HostInOutContextUptime
  • OpenAI$15.00 in·$60.00 out·200k·100% up

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

Common questions

What is the difference between Hunter Alpha and o1?

Hunter Alpha is developed by OpenRouter while o1 is developed by OpenAI. Hunter Alpha has a 1.0M token context window vs o1's 128K. You can compare their actual outputs across 38 challenges on Rival to see how they differ in practice.

Which is better, Hunter Alpha or o1?

It depends on your use case. Hunter Alpha and o1 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 Hunter Alpha cost compared to o1?

Hunter Alpha costs $0/M input tokens and o1 costs $15/M input tokens. Hunter Alpha is $15.00/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 Hunter Alpha and o1 on Rival?

This page shows a side-by-side comparison of Hunter Alpha and o1 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

  • Hunter Alpha vs Step 5 PreviewLanded Oct 2026
  • o1 vs Claude Haiku 5.5Landed Oct 2026
  • Hunter Alpha vs Ling 3.1 FlashLanded Oct 2026
  • o1 vs Mistral Large 4Landed Oct 2026
  • Hunter Alpha vs GPT-6.1 SolLanded Sep 2026
  • o1 vs Claude Sonnet 5.5Landed Sep 2026
  • Hunter Alpha vs Solar Mini 4Landed Sep 2026
  • o1 vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Hunter Alpha vs Ox AlphaSame lab
  • Hunter Alpha vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • o1 vs GPT-6.1 SolSame lab
  • o1 vs GPT-6 Luna ProSame lab
  • o1 vs Seed 2.0 CodeNew provider
  • Hunter Alpha vs Seed 2.0 LiteNew provider
  • o1 vs Seed 2.1 TurboNew provider
  • Hunter Alpha vs Sherlock Dash AlphaSame lab

Model pages

  • Hunter Alpha38 outputs, specs and price
  • o159 outputs, specs and price
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Explore all of Rival

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