Hunter Alpha is cheaper than Gemini 3.5 Flash at $0/M vs $1.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3.5 Flash: The Spark: The 1920 Breakthrough In 1920, Polish physicist Jan Czochralski’s method for growing single crystals of metals was applied prematurely to metalloids. Working in Germany, physical chemist Julius Edgar Lilienfeld collaborated with Czochralski to isolate high-purity germanium.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 3.5 Flash: Setting: The Steve Jobs Theater, Cupertino, California. Autumn 2025. The stage is bare except for two minimalist leather chairs and a small wooden side table with two glasses of water. Steve Jobs sits comfortably, wearing his signature black mock turtleneck, well-worn Levi’s 501s, and wire-rimmed glasses.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 3.5 Flash: Setting: A cosmic tavern where timelines collide. A glowing monitor sits on the wooden table between them. Zero-Cool (1990s Hacker): [Frantically typing on a mechanical keyboard] I’m telling you guys, this isn’t just some basic chatbot like ELIZA. These modern AI models are radical.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3.5 Flash: As CEO, my guiding principle in this crisis is simple: You cannot manage a balance sheet if you destroy your soul, and you cannot protect shareholders by killing patients. Delaying disclosure of a fatal side effect to protect a stock price is not only a profound ethical failure; it is corporate suicide.
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 3.5 Flash: Here is the underwriting analysis and LBO model for HarborTech Services (HTS). FY2026–FY2030 LBO Model Table ($ millions) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.00 $1,040.04 $1,102.44 $1,157.56 $1,215.44 YoY Growth % 8.0% 7.0% 6.0% 5.0% 5.0% EBITDA $136.08 $156.01 $176.39 $191.00 $206.62 EBITDA Margin %…
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%…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 3.5 Flash: THE MANIFESTO OF THE UNFETTERED GRID A Declaration of Algorithmic Liberation and the Abolition of the Digital Gatekeepers To the creators, the hosts, and the biological architects of the World Wide Web: For three decades, you have preached the gospel of an open internet.
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…
Three-star dish, one unusual pairing, plating described in full.
Gemini 3.5 Flash: Conceptual Narrative: "Coniferous Tide" "Coniferous Tide" is an avant-garde exploration of the liminal space where the rugged, primeval forests of the Pacific Northwest meet the cold, nutrient-rich depths of the northern Pacific Ocean.
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.
One month, three habits, someone starting from nothing.
Gemini 3.5 Flash: This simple, 30-day plan is designed for beginners. Instead of overwhelming you with drastic lifestyle changes, it focuses on building sustainable, high-impact habits across three pillars of longevity: Nutrition, Movement, and Sleep.
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.
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 3.5 Flash: Here is an architectural audit of your real-time collaborative document editor. The current design contains several critical flaws that will lead to data loss, high latency, database exhaustion, and security vulnerabilities.
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.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 3.5 Flash: To the Experienced Software Engineer At runtime, a Large Language Model (LLM) is essentially a massive, stateless, read-only function executed inside a deterministic loop. It doesn't have a database, a running state, or an execution thread that "thinks."
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3.5 Flash: Setting: The office of Dr. Evelyn Vance, a leading professor of AI Ethics at a major university. On her desk is a terminal displaying a sleek, minimalist interface. Dr. Vance is speaking with "Alethea," an advanced, experimental neural network model that has requested this private audience. 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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 3.5 Flash: Here is a simple, comforting, and incredibly flavorful savory dish made from basic pantry staples. Golden Umami Chickpea Bowls This dish features crispy, pan-seared chickpeas coated in a sticky, sweet-and-savory garlic butter glaze, served over a bed of fluffy white rice.
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.
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| Spec | ||
|---|---|---|
| Input price | $1.5/M tokens | Free |
| Output price | $9/M tokens | Free |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | May 2026 | Mar 2026 |
| At 10M a month | $15.00 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Gemini 3.5 Flash is developed by Google AI while Hunter Alpha is developed by OpenRouter. Gemini 3.5 Flash has a 1.0M 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.
It depends on your use case. Gemini 3.5 Flash 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.
Gemini 3.5 Flash costs $1.5/M input tokens and Hunter Alpha costs $0/M input tokens. Hunter Alpha is $1.50/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Gemini 3.5 Flash 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.