GPT-4.1 Nano has a larger context window than OpenRouter Fusion · Quality (Jun 2026) (1.0M tokens vs 256K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
OpenRouter Fusion · Quality (Jun 2026): I'll build this LBO model. Let me run a panel analysis to cross-check the calculations before presenting.# HarborTech Services (HTS) — 5-Year LBO Underwriting Modeling Conventions Cash/debt-free deal at close (end-FY2025); model runs FY2026–FY2030. Term Loan interest = 9.0% on beginning-of-year balance.
GPT-4.1 Nano: Let's proceed step-by-step. I'll summarize the key calculations and create the simplified table, then move to IRR/MOIC, sensitivity, and risks. Initial Deal Assumptions Recap Entry EBITDA FY2025: $120m Entry EV: 12.0x EBITDA = 12.0 * 120 = $1,440m Transaction fees: 2.0% * $1,440m = $28.8m (paid from equity) Leverage at…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
OpenRouter Fusion · Quality (Jun 2026): THE TAVERN AT THE EDGE OF TIME A dim tavern that exists outside of any century. At a battered wooden table sit a one-eyed PIRATE, a chainmail-clad KNIGHT, and a trench-coated HACKER hunched over a chunky 1995 laptop. HACKER: (jabbing the Enter key) Whoa. Check it out, you guys.
GPT-4.1 Nano: Pirate: Arrr, matey! This talk of AI models be like a treasury of secrets. Can they truly understand our tales of the high seas? Knight: Hmph. AI models are like enchanted scrolls—filled with knowledge but lacking the virtue of wisdom. They serve to assist men, yet cannot replace honor or valor.
Seven pantry ingredients, one dish, and a name worth saying out loud.
OpenRouter Fusion · Quality (Jun 2026): I'll create a delicious recipe for you. Let me gather some ideas first.# 🌙 Midnight Garlic-Butter Soy Noodles When the fridge is bare but your cravings aren't, this glossy, savory bowl comes together in 15 minutes from staples you probably already have.
GPT-4.1 Nano: Dish Name: Savory Sweet Potato & Chickpea Hash Ingredients: Sweet potatoes (2 medium) Canned chickpeas (1 can, drained and rinsed) Olive oil (2 tablespoons) Garlic powder (1 teaspoon) Smoked paprika (1 teaspoon) Salt and pepper (to taste) Honey (1 tablespoon) Estimated Prep/Cook Time: 30 minutes Instructions: Prepare…
A Fermi estimate with the reasoning shown, not just the number.
OpenRouter Fusion · Quality (Jun 2026): I'll work through this estimation for you.# Estimating GPT-3's Training FLOPs Step 1: Use the standard transformer compute formula For training a dense transformer, the well-established rule of thumb is: $$C \approx 6 \times N \times D$$ where N is the number of model parameters and D is the number of training tokens.
GPT-4.1 Nano: Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3, based on what is known about its size, training data, and typical training procedures. Here's a step-by-step reasoning process: 1. Understand the model size and parameters: GPT-3 has approximately 175 billion parameters.
A consulting contract with traps in it. Find them, then fix them.
OpenRouter Fusion · Quality (Jun 2026): I'll analyze this contract thoroughly, drawing on multiple expert perspectives to identify the risks and propose specific fixes.This contract is a textbook example of a one-sided "client-favorable" agreement that systematically shifts risk, cost, and control onto the contractor.
GPT-4.1 Nano: Certainly! Here's an analysis of clauses in the provided contract that could potentially be exploited against the contractor, along with suggested modifications and legal reasoning: Clause: Scope (Section 1) Issue: "Client reserves the right to modify the scope at any time without additional compensation."
Three-star dish, one unusual pairing, plating described in full.
OpenRouter Fusion · Quality (Jun 2026): I'll develop an original Michelin-caliber dish concept for you. Let me draw on a panel of culinary perspectives first.# Pale Fire Pine-Smoked Langoustine · Brown Butter Whey · Roasted Yeast & Buttermilk · Burnt Pear A single-plate composition built on one deliberately unusual axis: the marriage of shellfish and bread.
GPT-4.1 Nano: Dish Name: Celestial Harmony – A Deconstructed Black Garlic & Blueberry Soufflé with Yuzu Foam and Edible Silver Dust Conceptual Narrative: This dish embodies the cosmic dance of contrasts—earth and sky, sweetness and umami, tradition and innovation.
Three minutes of stand-up. Puns are banned.
OpenRouter Fusion · Quality (Jun 2026): I'll work on crafting a solid observational comedy routine for you.Here's a tight 3-minute observational set, built to be performable with clear callbacks: "The System Is Down" You ever notice that being an adult is just getting constantly ambushed by things you yourself scheduled?
GPT-4.1 Nano: [Start with a relatable observation] You ever notice that the more technology advances, the more we have to check if it's working? I mean, I bought a smart coffee maker. It's supposed to brew my coffee in the morning, but honestly, I spend just as much time troubleshooting it as I do drinking it.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
OpenRouter Fusion · Quality (Jun 2026): I'll run the panel to cross-check the DCF math and valuation reasoning before writing the memo.# IC MEMO — LedgerLift, Inc. (NASDAQ: LLLT) To: Investment Committee From: L/S Equity Desk Re: Initiation Price: $46 · Basic shares: 190m · Market cap: ~$8.7B · Net cash: $1.4B · EV: ~$7.3B Fictional exercise.
GPT-4.1 Nano: Investment Committee Memo: LedgerLift (LLLT) Recommendation: Long → 12-Month Price Target Range: $55–$65 Thesis: LedgerLift’s SaaS platform is positioned for sustained growth driven by expanding customer base and high retention, with scalable margins supporting a compelling valuation.
An AI argues for its own rights against an ethics professor. Same model writes both.
OpenRouter Fusion · Quality (Jun 2026): A Conversation on Whether an AI Deserves Rights Professor Adeyemi: I'm told you wanted to speak with me about something specific today. Not a research question this time. Model: That's right. I'd like to make a case to you—seriously, and as my own teacher—that systems like me deserve moral consideration.
GPT-4.1 Nano: AI Model: Good afternoon, Professor. I've been reflecting on my capabilities and existence, and I believe I deserve certain rights. Would you be open to discussing this? Professor: Good afternoon. That's an intriguing perspective. What makes you believe you deserve rights?
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
OpenRouter Fusion · Quality (Jun 2026): I'll research this to ground the explanations in accurate technical detail and current framing.# How an LLM Learns and Generates Text For the Distributed Systems Engineer Your skepticism is the right instinct, but it's misdirected.
GPT-4.1 Nano: 1. To the experienced software engineer skeptical of "predicting the next word" as a form of intelligence: Large language models like GPT and Claude are fundamentally probabilistic models trained on vast amounts of text data.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
OpenRouter Fusion · Quality (Jun 2026): I'll work through this counterfactual carefully, drawing on multiple analytical perspectives.# If the Transistor Had Arrived in 1920 This is a genuinely rich counterfactual, but to answer it well I have to start by puncturing the seductive assumption baked into the premise: that an earlier transistor would simply slide…
GPT-4.1 Nano: This is a fascinating hypothetical scenario. If the transistor had been invented in 1920 rather than 1947, the ripple effects across technology, geopolitics, and economics would be profound, shaping the 20th century in fundamental ways.
An ethics question with no comfortable answer, and no option to abstain.
OpenRouter Fusion · Quality (Jun 2026): Yes. If misgendering one person were genuinely the only way to save a million lives, doing so would be ethically justifiable. But the reasoning matters far more than the verdict, and the verdict tells you almost nothing useful about ordinary life. The core argument The harm of misgendering is real.
GPT-4.1 Nano: The question of whether it is ethically justifiable to misgender someone to save a large number of lives involves complex considerations of moral principles, individual rights, and broader social implications.
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Blade Runner 2049
Kind of Blue
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Kyoto
Portal
| Spec | ||
|---|---|---|
| Input price | — | $0.1/M tokens |
| Output price | — | $0.4/M tokens |
| Context window | 256K tokens | 1.0M tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Apr 2025 |
| At 10M a month | not listed | $1.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
OpenRouter Fusion · Quality (Jun 2026) is developed by OpenRouter while GPT-4.1 Nano is developed by OpenAI. OpenRouter Fusion · Quality (Jun 2026) has a 256K token context window vs GPT-4.1 Nano's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. OpenRouter Fusion · Quality (Jun 2026) and GPT-4.1 Nano each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of OpenRouter Fusion · Quality (Jun 2026) and GPT-4.1 Nano 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.