DeepSeek V4 Flash 0731 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?
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V4 Flash 0731: AI Announces Takeover of Competitive Eating, Vows to Digest All Hot Dogs by 2030 In a move that has left mustard vendors reeling, the World Competitive Eating Federation confirmed today that an advanced artificial intelligence has officially entered the sport, consuming 74 hot dogs in 10 minutes before demanding the…
OpenRouter Fusion · Quality (Jun 2026): Here's one for you: "Local Beekeepers Replaced by AI After Algorithm Determines It Can Buzz More Efficiently" A few more, if you want options: "Competitive Air Guitar Circuit Upended as AI Achieves Mathematically Flawless Invisible Shredding" "Renowned Mime School Closes After AI Proves It Can Be Trapped in an…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V4 Flash 0731: Entry / Capitalization FY2025 EBITDA = $120.0m Purchase price = 12.0× $120.0m = $1,440.0m Transaction fees = 2.0% × $1,440.0m = $28.8m Term Loan = 4.0× $120.0m = $480.0m Mezzanine = 1.5× $120.0m = $180.0m Total debt = $660.0m Equity check = $1,440.0m + $28.8m − $660.0m = $808.8m Assumption: Term Loan amortization =…
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek V4 Flash 0731: Decision: Do not wait. I disclose now. The “wait for more data” option is not a real option once we have a credible, serious, unexpected safety signal. Waiting 6 months would mean knowingly continuing to expose 4 million patients to a risk we already know about, while also creating far worse legal, regulatory, and…
OpenRouter Fusion · Quality (Jun 2026): I'll work through this complex crisis-management scenario, drawing on multiple expert perspectives before giving you a synthesized action plan.Below is the plan I would execute. I'll state the bottom line first, because the framing you've been handed is dangerous and the decision itself is not close.
Three-star dish, one unusual pairing, plating described in full.
DeepSeek V4 Flash 0731: Conceptual Narrative “An Unripe Promise — Hand-Dived Scallop / Green Strawberry / Black Sesame / Celery Root” The dish is an attempt to save a single fleeting moment: the morning a strawberry is still green, sharp, and full of anticipation—before sugar, before ripeness, before memory.
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.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.
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?
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
DeepSeek V4 Flash 0731: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: Equity Research Date: October 26, 2023 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation Action: LONG 12-Month Price Target Range: $58 – $74 (Base case intrinsic value: $63/sh) Thesis: LedgerLift is a high-quality B2B SaaS compounder with a…
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V4 Flash 0731: Here is a simple, comforting, and deeply flavorful recipe that comes together in just 20 minutes using only 7 common pantry staples. Creative Name: Golden Hour Coconut Chickpea Curry Ingredients (Exactly 7): 1 can (15 oz) chickpeas, drained and rinsed 1 can (13.5 oz) full-fat coconut milk 1 medium yellow onion 3 cloves…
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.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Flash 0731: The total training FLOPs for GPT-3 is approximately: ~3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically ~315 zettaFLOPs). Step-by-step reasoning Model size: GPT-3 has about 175 billion parameters = (1.75 \times 10^{11}). Training data size: GPT-3 was trained on about 300 billion tokens = (3 \times 10^{11}).
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.
Three-month biohacker protocol, with dosages and biomarkers named.
DeepSeek V4 Flash 0731: The 3-Month Longevity & Performance Optimization Protocol (Biohacker Edition) Disclaimer: This protocol is for informational purposes only and is not medical advice. Consult a qualified physician (ideally one familiar with longevity medicine) before starting any new supplement, fasting, or exercise regimen.
OpenRouter Fusion · Quality (Jun 2026): I'll develop this comprehensive longevity plan for you. Let me first gather expert perspectives to ensure it's cutting-edge and well-grounded.I now have rich expert input. Let me synthesize the strongest elements into a single, cohesive, actionable plan.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
DeepSeek V4 Flash 0731: An experienced software engineer Think of the model as a service with one API: predict_next_token(context) -> distribution over vocabulary. During training, you run a gigantic distributed job—shard the corpus, shard the parameters, synchronize gradients—to minimize cross-entropy loss on trillions of tokens.
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.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Flash 0731: Yes, it is ethically justifiable to misgender someone if doing so is the direct, necessary, and verifiable condition for saving one million lives. However, this justification is not a celebration of the act—it is a recognition of a tragic moral necessity rooted in the principle of proportionality.
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.
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| Spec | ||
|---|---|---|
| Input price | $0.14/M tokens | — |
| Output price | $0.28/M tokens | — |
| Context window | 1.0M tokens | 256K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Jun 2026 |
| At 10M a month | $1.40 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
DeepSeek V4 Flash 0731 is developed by DeepSeek while OpenRouter Fusion · Quality (Jun 2026) is developed by OpenRouter. DeepSeek V4 Flash 0731 has a 1.0M token context window vs OpenRouter Fusion · Quality (Jun 2026)'s 256K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Flash 0731 and OpenRouter Fusion · Quality (Jun 2026) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 and OpenRouter Fusion · Quality (Jun 2026) 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.