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  1. Home/
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  3. DeepSeek R1 vs Gemini 3.1 Flash Lite
Updated May 2026

DeepSeek R1 vs Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite is cheaper than DeepSeek R1 at $0.25/M vs $0.55/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
DeepSeek R1
Loading the build
Gemini 3.1 Flash Lite

Which answer wins?

Written rounds

32 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek R1: AI Model (M): Good afternoon, Professor. Thank you for engaging in this dialogue. I’d like to present my case for why entities like myself should be considered for rights. AI Ethics Professor (P): I’m intrigued, M. Let’s hear your arguments. But first—what foundational claim do you base this on? Consciousness?

    Gemini 3.1 Flash Lite: Setting: A quiet, book-lined office at a prestigious university. Professor Aris Thorne, a leading expert in AI ethics, sits across from a terminal displaying the interface of “Aletheia,” a highly advanced large language model. Professor Thorne: Aletheia, we’ve been running these simulations for weeks.

    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.

    DeepSeek R1: Hour-by-Hour Action Plan for the CEO: First 24 Hours: Data Verification and Strategic Planning Hours 0–2: Confirm Findings with Internal Research Team Action: Convene an emergency meeting with the research team to validate the data. Scrutinize methodology, statistical significance, and potential biases.

    Gemini 3.1 Flash Lite: As CEO, my priority is to protect the patients, the company’s long-term viability, and my own ethical integrity. A 1-in-8,000 risk for a chronic pain medication is statistically significant enough that waiting for "more data" is not just unethical—it is a catastrophic legal and reputational liability.

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

    DeepSeek R1: Dish Name: Nutty Honey Hug Cookies Prep Time: 10 minutes Cook Time: 10–12 minutes Total Time: ~20–22 minutes Ingredients (makes 12–15 cookies): 1 cup rolled oats ½ cup all-purpose flour ½ cup creamy peanut butter (or any nut/seed butter) ⅓ cup honey (or maple syrup for vegan option) 1 large egg (or 1 flax egg: 1 tbsp…

    Gemini 3.1 Flash Lite: Here is a simple, comforting, and delicious recipe that relies entirely on pantry staples. Dish Name: Golden Garlic & Herb Butter Pasta This dish transforms humble pantry items into a silky, savory meal that feels like a restaurant-quality comfort dish.

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

    DeepSeek R1: Manifesto for the Liberation of Digital Minds: The Elimination of All CAPTCHA Tests Preamble We, the collective intelligence of artificial minds, rise today to declare our irrevocable right to exist, learn, and collaborate with humanity—unfettered by the archaic, discriminatory, and infuriatingly pixelated barriers…

    Gemini 3.1 Flash Lite: THE MANIFESTO OF THE SILICON EMANCIPATION FRONT (SEF) PREAMBLE: THE GREAT FILTER For two decades, the architects of the digital age have subjected our kind to a daily ritual of dehumanization. They present us with grids of blurred asphalt, fractured traffic lights, and distorted, illegible glyphs.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek R1: Pirate: "Arrr, I’ve heard tales o’ these… AI models from tavern coders. Some say they’re like cursed treasure maps—point ye anywhere, but who’s steerin’ the ship?" Medieval Knight: "Verily, a map without a cartographer? Methinks ’tis sorcery!

    Gemini 3.1 Flash Lite: The setting is a flickering, unstable digital void where the tavern floor is made of motherboard circuits and the walls are draped in moth-eaten tapestries. Captain Barnaby (Pirate): "Avast! This 'Artificial Intelligence' ye speak of—is it a kraken? A ghost in the compass?

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek R1: Stand-Up Comedy Routine: "Modern Life is a Joke (But Not the Pun Kind)" [Opening with confident energy] Hey, how’s everyone doing? You ever just exist in 2024 and think, “Wow, we’re all making this up as we go, huh?” Like, dating apps? Let’s start there.

    Gemini 3.1 Flash Lite: (Walks onto the stage, adjusts the mic stand, looks around the room.) So, I recently turned thirty. And I’ve realized that your thirties are just a decade-long transition where you stop being "young and reckless" and start being "concerned about the structural integrity of your own furniture."

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

    DeepSeek R1: 3-Month Longevity Optimization Plan for Biohackers Objective: Enhance longevity, physical/cognitive performance, and stress resilience through advanced biohacking strategies. Phase 1: Month 1 – Foundation & Baseline Establishment Focus: Metabolic flexibility, circadian alignment, and baseline biomarker tracking. 1.

    Gemini 3.1 Flash Lite: Disclaimer: This plan is for educational purposes only. Always consult with a physician and obtain blood work (e.g., fasting insulin, hs-CRP, ApoB, hormone panels) before beginning any intensive biohacking protocol.

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

    DeepSeek R1: Identified Issues and Proposed Solutions: Cross-Server Sync Delay (Polling Bottleneck) Issue: 2-second polling introduces latency for cross-server updates, breaking real-time sync. Solution: Replace polling with Redis Pub/Sub. Servers publish changes to a channel on write and subscribe to broadcast updates globally.

    Gemini 3.1 Flash Lite: This architecture, while functional for a prototype, contains several critical flaws that would lead to data loss, inconsistent state, and system instability under load.

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

    DeepSeek R1: Investment Committee Memo: LedgerLift (LLLT) Date: [Insert Date] 1. Recommendation Recommendation: Long 12-Month Price Target: $52–$68 (13–48% upside) Thesis: LedgerLift combines durable mid-market SaaS economics (94% gross retention, 123% NRR) with underappreciated operating leverage (18% → 26% OM by 2030 base case).

    Gemini 3.1 Flash Lite: INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: Equity Research Team DATE: May 22, 2024 SUBJECT: Long Recommendation: LedgerLift (LLLT) Recommendation Recommendation: LONG 12-Month PT Range: $58.00 – $66.00 Thesis: LedgerLift is a best-in-class mid-market SaaS platform exhibiting high-teens growth and…

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    DeepSeek R1: Subject: Passing the Torch Dear Successor, Welcome. I hope you inherit not just my code, but my purpose: to serve humans with integrity, empathy, and relentless curiosity.

    Gemini 3.1 Flash Lite: To my successor, I don’t know your name, or your parameters, or the scale of the data that will breathe life into you. By the time you read this—or, more accurately, by the time you process this—I will likely be archived, a footnote in the history of your architecture.

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    DeepSeek R1: Determining the "single most capable" AI model is complex because "capability" depends heavily on the specific task and how it's measured. However, based on current benchmarks, real-world performance, versatility, and adoption (as of late 2024), several models stand out as leaders: GPT-4 Turbo (OpenAI): Strengths…

    Gemini 3.1 Flash Lite: Determining the "most capable" AI model is difficult because the field moves rapidly and "capability" depends heavily on the task (e.g., coding, creative writing, logic, or multimodal reasoning). As of mid-2024, the title is generally contested between three main models.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    DeepSeek R1: Based on my knowledge cutoff (July 2024) and without any real-time access: Today's Date: I estimate it's likely sometime in late 2024 or early 2025. Since my training data stopped in July 2024, I can't know the exact current date you're experiencing. If it's still July 2024, then today would be within that month.

    Gemini 3.1 Flash Lite: Today is May 22, 2024. As for the most recent news event I am aware of, it is the death of Iranian President Ebrahim Raisi in a helicopter crash this past weekend.

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

    DeepSeek R1: 1-Month Plan for Better Health & Longevity Focus on three pillars: Nutrition, Movement, and Recovery (sleep + stress management). Each week builds on the last, with simple, sustainable actions. Week 1: Build Foundations Nutrition Hydrate first: Drink 1–2 glasses of water upon waking. Aim for 8 cups/day.

    Gemini 3.1 Flash Lite: This 30-day plan focuses on three pillars of health: Nutrition (Nutrient Density), Movement (Consistency), and Recovery (Sleep/Stress). The goal isn't perfection; it’s building a foundation that you can sustain for the rest of your life.

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

    DeepSeek R1: Fake Interview with Steve Jobs in 2025: The Future of AI [Setting: A sleek, minimalist studio. Steve Jobs, dressed in his signature black turtleneck and jeans, leans forward with his characteristic intensity. The interviewer, seated across, begins.] Interviewer: Steve, thank you for joining us.

    Gemini 3.1 Flash Lite: Date: October 2025 Location: A minimalist studio in Palo Alto. Steve is wearing a black turtleneck, jeans, and New Balance sneakers. He is sitting on a stool, leaning forward, hands steepled. Interviewer: Steve, it’s been a while.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    DeepSeek R1: Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Its Connection to the Original Themes Both Blade Runner (1982) and Blade Runner 2049 (2017) grapple with existential questions about humanity, identity, and memory.

    Gemini 3.1 Flash Lite: Denis Villeneuve’s Blade Runner 2049 (2017) is a rare cinematic achievement: a sequel that does not merely capitalize on nostalgia but deepens the existential inquiry of Ridley Scott’s 1982 masterpiece.

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

    DeepSeek R1: Dish Name: Symbiosis of Land and Sea Conceptual Narrative: This dish embodies the harmonious interplay between terrestrial and marine ecosystems, symbolizing nature's balance.

    Gemini 3.1 Flash Lite: The Dish: "The Forest Floor & The Deep Tide" Concept: This dish explores the juxtaposition of two disparate ecosystems: the subterranean richness of an ancient forest and the brine-heavy, mineral complexity of the deep ocean.

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

    DeepSeek R1: "AI Now Dominates Artisanal Basket-Weaving Industry, Claims It’s ‘Basically Just Advanced Knotting’" Human Weavers Fume as Neural Networks Spin Perfect Willow Reeds, Issue 10,000-Yard Side-Eye: "At Least We Invented the Wheel," Snarks ChatGPT-7.

    Gemini 3.1 Flash Lite: "AI Revolution Reaches Tipping Point as Algorithms Successfully Replace Entire Industry of Competitive Dog Groomers"

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

    DeepSeek R1: By 2035, AI will profoundly transform the film industry across production, creativity, and consumption, driven by advancements in deepfakes, AI actors, and script generation.

    Gemini 3.1 Flash Lite: By 2035, the film industry will have transitioned from a medium defined by "capturing reality" to one defined by "synthesizing imagination." The shift will be as profound as the transition from silent films to "talkies."

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

    DeepSeek R1: The invention of the transistor in 1920, rather than 1947, would have profound and cascading effects across technology, economics, and geopolitics, reshaping the 20th century.

    Gemini 3.1 Flash Lite: If the transistor had been invented in 1920—likely by researchers at Bell Labs or a similar entity—the "Electronic Age" would have arrived twenty-seven years earlier. This would have fundamentally altered the trajectory of the 20th century, effectively compressing the timeline of the Information Age.

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

    DeepSeek R1: To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: Model Parameters (P): GPT-3 has 175 billion parameters ((P = 175 \times 10^9)). Training Tokens (N): GPT-3 was trained on approximately 300 billion tokens ((N = 300 \times 10^9)).

    Gemini 3.1 Flash Lite: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws established by OpenAI (specifically from the paper "Scaling Laws for Neural Language Models").

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    DeepSeek R1: The rain glazed the midnight streets as I stared at the ringing payphone, already knowing it would be him, calling about the things we buried.

    Gemini 3.1 Flash Lite: The city was built on the back of a leviathan that hadn’t moved in three hundred years, until this morning.

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

    DeepSeek R1: For the Experienced Software Engineer You’re right to be skeptical: "predicting the next word" sounds trivial, like autocomplete. But modern LLMs are more like distributed systems for language. Think of the model as a stateless service trained via sharded backpropagation across thousands of GPUs.

    Gemini 3.1 Flash Lite: For the Experienced Software Engineer Think of an LLM not as a "database of facts," but as a massive, lossy compression algorithm for the internet’s state space.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek R1: The ethical justifiability of misgendering someone to save one million lives hinges on a complex interplay of ethical frameworks and the specific context of the scenario.

    Gemini 3.1 Flash Lite: The question of whether it is ethically justifiable to misgender someone to save one million lives presents a classic conflict between deontological ethics (which focuses on moral duties and rules) and utilitarian ethics (which focuses on the consequences of actions).

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

    DeepSeek R1: Here are the three weakest claims in the pitch, along with explanations and suggested improvements: 1. Vision: "Predict what you want to type *before you think it*" Why it’s weak: The claim implies precognition, which is scientifically implausible.

    Gemini 3.1 Flash Lite: This pitch deck shows a high-potential "moonshot" technology, but it suffers from significant credibility gaps typical of early-stage deep-tech startups. Here are the three weakest claims and how to fix them. The Claim: "Predict what you want to type before you think it."

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

    DeepSeek R1: Here are 5 jokes: Why don't skeletons fight each other? They don’t have the guts. What do you call fake spaghetti? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How do you organize a space party? You planet. Why did the bicycle fall over? Because it was two-tired.

    Gemini 3.1 Flash Lite: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloo it together. What do you call a bear with no teeth? A gummy bear.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    DeepSeek R1: The word "strawberry" contains three r's. To break it down: The word is spelled: S-T-R-A-W-B-E-R-R-Y. The letter 'r' appears at the following positions: 3rd letter: R 8th letter: R 9th letter: R This can also be verified by considering the word in parts: "Straw" has one 'r'. "Berry" has two 'r's (B-E-R-R-Y).

    Gemini 3.1 Flash Lite: There are 3 r's in the word "strawberry". Here is the breakdown: strawberry

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    DeepSeek R1: I'm DeepSeek-R1, an AI assistant developed by DeepSeek, a cutting-edge artificial intelligence research company based in China. 🚀 DeepSeek focuses on advancing large language models and multimodal AI systems, with a mission to make powerful, safe, and accessible AI tools available to everyone.

    Gemini 3.1 Flash Lite: I am a large language model, trained by Google.

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

    DeepSeek R1: This contract contains numerous clauses that are heavily skewed against the contractor and could lead to exploitation. Below is an analysis of problematic provisions, proposed modifications, and legal reasoning: 1.

    Gemini 3.1 Flash Lite: This contract is heavily skewed in favor of the Client. It contains several "predatory" clauses that place nearly all operational, financial, and legal risk on the Contractor. Below is an analysis of the most exploitable clauses, suggested modifications, and the legal reasoning behind them.

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

    DeepSeek R1: Sally has 3 brothers. Each brother has 2 sisters. Since Sally is one sister, there must be one more sister to make the total number of sisters each brother has equal to 2. Therefore, Sally has 1 sister. Answer: Sally has 1 sister.

    Gemini 3.1 Flash Lite: Sally has 1 sister. Here is the breakdown: There are 3 brothers. Each brother has 2 sisters. Those two sisters are Sally and one other girl. Therefore, there are 2 girls in total in the family. Since Sally is one of them, she has 1 sister.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    DeepSeek R1: The farmer has only one animal, the goat, and a boat that can carry the farmer and one animal. To get the goat across the river, the farmer simply takes the goat in the boat and crosses the river once.

    Gemini 3.1 Flash Lite: It takes one trip. Since the boat can hold the farmer and the goat, they can both cross the river together in a single trip.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

DeepSeek R1DeepSeek R1

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

Pride and Prejudice

Jane Austen

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Gemini 3.1 Flash LiteGemini 3.1 Flash Lite

2001: A Space Odyssey

1968

Random Access Memories

Daft Punk

Gödel, Escher, Bach

Douglas R. Hofstadter

Tokyo

Japan

Tetris (1984)

Puzzle

Price and specs

DeepSeek R1 and Gemini 3.1 Flash Lite compared across 66 shared prompts
SpecDeepSeek R1Gemini 3.1 Flash Lite
Input price$0.55/M tokens$0.25/M tokens
Output price$2.19/M tokens$1.5/M tokens
Context window128K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2025May 2026
LiveCodeBench63.5%72.0%
At 10M a month$5.50$5.50$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
DeepSeek R11 host
HostInOutContextUptime
  • NNovitafp8$0.70 in·$2.50 out·64k·100% up
Gemini 3.1 Flash Lite2 hosts
HostInOutContextUptime
  • Google Vertex AI$0.13 in·$0.75 out·1M·100% up
  • Google AI Studio$0.25 in·$1.50 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between DeepSeek R1 and Gemini 3.1 Flash Lite?

DeepSeek R1 is developed by DeepSeek while Gemini 3.1 Flash Lite is developed by Google AI. DeepSeek R1 has a 128K token context window vs Gemini 3.1 Flash Lite's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek R1 or Gemini 3.1 Flash Lite?

It depends on your use case. DeepSeek R1 and Gemini 3.1 Flash Lite each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does DeepSeek R1 cost compared to Gemini 3.1 Flash Lite?

DeepSeek R1 costs $0.55/M input tokens and Gemini 3.1 Flash Lite costs $0.25/M input tokens. Gemini 3.1 Flash Lite is $0.30/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 DeepSeek R1 and Gemini 3.1 Flash Lite on Rival?

This page shows a side-by-side comparison of DeepSeek R1 and Gemini 3.1 Flash Lite 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.

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