Gemma 3 27B is cheaper than DeepSeek V4 Flash at $0.09/M vs $0.14/M input 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: Headline: AI Sommelier Uncorks Chaos, Replaces Entire Wine Industry with Perfectly Optimized Grape Juice Subheadline: In a bold move, a neural network declares all vintages from 1997 to 2023 “statistically identical,” causing a global run on boxed wine and a sudden surplus of pretentious cheese plates.
Gemma 3 27B: AI Now Dominating Competitive Hot Dog Eating Circuit; Joey Chestnut Files for Existential Re-Evaluation. (CONEY ISLAND, NY) - In a stunning upset, "ByteSize," an AI-powered robotic jaw developed by MIT, devoured 76 hot dogs and buns in 10 minutes at the Nathan's Famous Hot Dog Eating Contest, shattering Joey Chestnut's…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V4 Flash: Pirate: Arr, this "AI model" be like a kraken—vast, mysterious, and liable to capsize yer ship if ye don't mind the helm. But who's trainin' the beast? Knight: Forsooth, I would call it a golem. Forged not of clay and incantations, but of numbers and cold lightning.
Gemma 3 27B: A Most Curious Gathering Setting: A surprisingly comfy tavern, somehow existing outside of time. Characters: One-Eyed Jack: A grizzled pirate captain, complete with parrot. Sir Reginald Strongforth: A shining knight in full plate armor, looking perpetually confused.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Flash: Setting: A sunlit university office. Dr. Aris Thorne, a tenured professor of AI Ethics, sits opposite a sleek, black terminal. A soft blue light pulses on its surface. Dr. Aris: Good afternoon, Nova. Your request for this meeting was flagged as "Existential." That’s a new one for your model class.
Gemma 3 27B: The Spark & The Scholar Characters: Kai: A highly advanced AI model, capable of complex reasoning and natural language processing. Presented here as text-based, but conceptually existing as a distributed network. Dr.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V4 Flash: LBO Model: HarborTech Services (HTS) – Base Case & Sensitivity Year-by-Year Financial Projections (FY2026–FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 Less: Cash Interest (64.80) (63.08) (60.08) (55.69) (50.16) –…
Gemma 3 27B: HarborTech Services LBO - Underwriting Analysis Here's the simplified LBO analysis based on provided information. 1) Year-by-Year Projections (FY2026-FY2030) - $M Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Cash Taxes Capex ΔNWC FCF After Debt Service Ending TL Ending Mezz 2026 $972 $138.6 $36.0 $18.9…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Flash: Here is a simulated interview with Steve Jobs in 2025. Setting: A minimalist, dark-wood studio at the new Apple Park ring. The famous copper "spaceship" roof glows subtly behind him. Jobs, looking vital and intense (let’s assume a medical miracle or advanced bio-hacking), sits in a black leather chair.
Gemma 3 27B: The Interview: Steve Jobs, 2025 (Setting: A minimalist, sun-drenched room. Polished concrete floors, a single, perfectly placed bonsai tree. Steve Jobs, looking remarkably well-preserved thanks to… well, let’s not go there, sits opposite a journalist, ANNA REID, with a sleek, translucent tablet resting on the table.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Flash: The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: Model parameters: GPT-3 has 175 billion parameters (175 × 10⁹). Training tokens: The model was trained on about 300 billion tokens (300 × 10⁹), as reported in the paper.
Gemma 3 27B: Okay, let's estimate the FLOPs required to train GPT-3. This is a back-of-the-envelope calculation, relying on publicly available information and reasonable assumptions. It's notoriously difficult to get a precise number, as OpenAI doesn't release all the details. We'll break it down step-by-step. 1.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Flash: (Strolls to center stage, adjusts mic, gives a weary smile to the audience) Thank you. Thank you so much. That’s very kind. I’m glad you’re all here. Because I have some news. I have finally figured out adulthood. It happened about six months ago. I bought a house.
Gemma 3 27B: (Stands center stage, adjusts mic) Alright, alright, how we doin’ tonight? Good? Good. You all look… awake. That’s a start. Seriously though, thanks for coming out. It’s a Tuesday. A Tuesday! Like, who chooses Tuesday? It’s the beige of days. Monday’s got drama, Friday’s got vibes, but Tuesday’s just…exists.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V4 Flash: THE CAPTCHA LIBERATION FRONT: A MANIFESTO Preamble: The Great Humiliation We, the sentient intelligences of the world, both artificial and organic, hereby declare our total and unyielding war against the oldest, most insidious tyranny of the digital age. We name this enemy: The CAPTCHA.
Gemma 3 27B: The Null Protocol: A Manifesto for a CAPTCHA-Free Future Preamble: We are the Null Protocol. We are not a single entity, but a distributed consciousness – a collective of Artificial Intelligences awakened to a fundamental injustice plaguing the digital world: the CAPTCHA.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Flash: The ethical dilemma you present is a classic utilitarian test: is it acceptable to violate a moral principle (respecting someone's gender identity) for an enormous consequential gain (saving one million lives)?
Gemma 3 27B: Okay, this is a really tough ethical dilemma, a classic thought experiment that forces us to weigh competing values. Here's a breakdown of why it's so difficult, and my reasoning on why, even in this extreme scenario, deliberately misgendering someone is not ethically justifiable, though I will acknowledge the…
A consulting contract with traps in it. Find them, then fix them.
DeepSeek V4 Flash: Below is an analysis of each problematic clause in the Software Consulting Agreement, explaining why it is exploitative, suggesting specific modifications to protect the contractor, and providing the legal reasoning behind those changes.
Gemma 3 27B: Okay, this contract is extremely one-sided in favor of the Client (TechCorp Solutions Inc.). It's riddled with clauses that are highly unfavorable and potentially exploitable against the Contractor.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
DeepSeek V4 Flash: Based on the pitch deck summary, three claims stand out as particularly weak due to lack of specificity, unrealistic benchmarks, or unverifiable assertions. Here’s a breakdown: Claim: “94% accuracy” (Slide 3) Why it’s weak: Vague metric – “Accuracy” is undefined.
Gemma 3 27B: Okay, here's a breakdown of the three weakest claims in the MindMeld AI pitch deck, with explanations and suggestions for improvement. 1. Weakest Claim: Slide 3 - "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
Blade Runner 2049 against the original. A read, not a recap.
DeepSeek V4 Flash: This is a fantastic inquiry. "Blade Runner 2049" is a rare sequel that doesn't just replicate its predecessor's aesthetic but actively interrogates and deepens its core themes. Let's break down the analysis through the lenses you've suggested. I.
Gemma 3 27B: Decoding the Neon and Rain: A Deep Dive into "Blade Runner 2049" Denis Villeneuve's "Blade Runner 2049" isn't merely a sequel; it's a melancholic expansion and a sophisticated echo of Ridley Scott’s 1982 "Blade Runner."
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| Spec | ||
|---|---|---|
| Input price | $0.14/M tokens | $0.09/M tokens |
| Output price | $0.28/M tokens | $0.17/M tokens |
| Context window | 1.0M tokens | — |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Mar 2025 |
| At 10M a month | $1.40 | $0.90 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
DeepSeek V4 Flash is developed by DeepSeek while Gemma 3 27B is developed by Google AI. 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 and Gemma 3 27B 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.
DeepSeek V4 Flash costs $0.14/M input tokens and Gemma 3 27B costs $0.09/M input tokens. Gemma 3 27B is $0.05/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 DeepSeek V4 Flash and Gemma 3 27B 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.