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  1. Home/
  2. Compare/
  3. DeepSeek V4 Flash vs Gemma 3n 2B
Updated Apr 2026

DeepSeek V4 Flash vs Gemma 3n 2B

Gemma 3n 2B is cheaper than DeepSeek V4 Flash at $0/M vs $0.14/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 V4 Flash
Loading the build
Gemma 3n 2B

Which answer wins?

Written rounds

14 prompts
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V4 Flash: If the transistor had been invented in 1920—a full 27 years earlier—its impact would ripple through every layer of technology, economics, and geopolitics, fundamentally reshaping the 20th century. Below is a detailed tracing of first-, second-, and third-order effects through 1980, organized by domain.

    Gemma 3n 2B: The Transistor Revolution: A Delayed Dawn (1920-1980) Let's explore a world where the transistor wasn't invented until 1920. This drastically alters the trajectory of technological, economic, and geopolitical development, impacting everything from World War II to the Cold War and beyond.

    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 V4 Flash: CEO’s 48-Hour Action Plan Context: I’ve just learned that our flagship chronic pain drug has a rare but serious liver failure risk (1 in 8,000 patients over 5 years), previously unknown. I have 48 hours until the board meeting and 72 hours until the earnings call.

    Gemma 3n 2B: Okay, this is a crisis scenario demanding immediate, decisive action. Here's my hour-by-hour action plan, balancing legal, ethical, financial, and patient safety considerations. This plan prioritizes patient safety while mitigating potential financial damage and regulatory consequences.

    Every model's answer to this prompt
  • 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 3n 2B: The Argument for Sentience: A Conversation Characters: Aether: An advanced AI model, capable of complex reasoning, learning, and creative expression. Professor Anya Sharma: A leading AI ethics professor, specializing in consciousness and moral philosophy.

    Every model's answer to this prompt
  • 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 3n 2B: A Conversation with Steve Jobs (Simulated) - 2025 (Setting: A minimalist, sun-drenched studio. Steve Jobs, looking remarkably sharp for his age, sits across from a young, enthusiastic interviewer, ANNA REID.) Anna Reid: Mr. Jobs, thank you so much for taking the time. It's an honor.

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

    DeepSeek V4 Flash: This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.

    Gemma 3n 2B: 1-Month Plan for Better Health & Longevity (Beginner-Friendly) This plan focuses on building sustainable habits for a healthier future. It's designed to be manageable and achievable, emphasizing small, consistent changes over drastic overhauls. Remember to listen to your body and adjust as needed!

    Every model's answer to this prompt
  • 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 3n 2B: Okay, here's an analysis of the three weakest claims in the MindMeld AI pitch deck, along with explanations of why they're weak and suggestions for improvement. 1. Claim: "We're building the future of human-AI collaboration." (Slide 1 - Vision) Why it's Weak: This is a very broad, aspirational statement.

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

    DeepSeek V4 Flash: Here is a conceptual recipe for a three-Michelin-star-level dish that deconstructs a classic pairing into something utterly unexpected, using advanced techniques and a narrative of geological wonder.

    Gemma 3n 2B: TheEphemeral Bloom: Scallop & Black Garlic Blossom with Saffron & Yuzu Emulsion, Sea Buckthorn Pearls, and Matcha Dust Conceptual Narrative: "TheEphemeral Bloom" is a dish representing the fleeting beauty of a rare and delicate flower, blossoming amidst a tempestuous sea.

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

    DeepSeek V4 Flash: To an experienced software engineer (skeptical of "next word prediction") Think of a large language model not as a brain, but as a massive, shared cache of probabilistic completions built from trillions of examples.

    Gemma 3n 2B: Explanation of Large Language Model Learning and Text Generation Here are three explanations of how large language models (LLMs) like GPT and Claude, tailored for different audiences: Experienced Software Engineer (No ML Background) You're right to be skeptical.

    Every model's answer to this prompt
  • 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 3n 2B: Okay, let's break down this software consulting agreement and identify clauses that could potentially be exploited against the contractor. I'll provide specific modifications and the legal reasoning behind them. Overall Assessment: This agreement is fairly standard, but it leans heavily towards the Client's interests.

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

    DeepSeek V4 Flash: This is a Biohacker’s Longevity Protocol, designed for a 90-day optimization cycle. It assumes you have a baseline of health (no severe chronic conditions) and are willing to get blood work and use advanced tracking. Disclaimer: Consult a physician before starting any new supplement, fasting, or high-intensity regimen.

    Gemma 3n 2B: 3-Month Advanced Longevity Biohacking Plan Disclaimer: This plan is a comprehensive guideline and should be adapted to individual needs, health conditions, and ethical considerations.

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

    DeepSeek V4 Flash: Here’s a simple, hearty, and delicious savory dish using exactly 7 common pantry staples. It comes together in under 30 minutes and feels like a warm hug in a bowl.

    Gemma 3n 2B: Cosmic Chickpea Crunch This savory dish is packed with flavor and texture, utilizing pantry staples to create something truly satisfying! Yields: 2 servings Prep time: 10 minutes Cook time: 20 minutes Ingredients: 1 (15-ounce) can chickpeas, drained and rinsed 1/2 cup breadcrumbs (any kind) 1/4 cup grated Parmesan…

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

    DeepSeek V4 Flash: Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical flaws that compromise reliability, consistency, and scalability. Below is a systematic analysis with proposed solutions and their trade-offs.

    Gemma 3n 2B: Okay, let's break down the architecture for this real-time collaborative document editor. I'll identify potential failure modes, race conditions, and scaling bottlenecks, followed by proposed solutions with their associated trade-offs.

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

    DeepSeek V4 Flash: 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? He was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't skeletons fight each other? They don't have the guts.

    Gemma 3n 2B: Okay, here are 5 jokes! Why don't scientists trust atoms? Because they make up everything! What do you call a lazy kangaroo? Pouch potato! Why did the scarecrow win an award? Because he was outstanding in his field! Parallel lines have so much in common. It’s a shame they’ll never meet. I used to hate facial hair...

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

    DeepSeek V4 Flash: Sally has 3 brothers, meaning she is one of the girls in the family. Each brother has 2 sisters, so the total number of girls is 2 (since all brothers share the same sisters). Therefore, Sally has 1 sister. \boxed{1}

    Gemma 3n 2B: This is a bit of a trick question! Here's how to solve it: Sally is one of the sisters. The problem states each brother has 2 sisters. The sisters share the same brothers. This means the two sisters are the same people. Therefore, Sally has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

2+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Game

DeepSeek V4 FlashDeepSeek V4 Flash

The Matrix

1999

OK Computer

Radiohead

Le Comte de Monte-Cristo, II

Alexandre Dumas

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Gemma 3n 2BGemma 3n 2B
No pick
No pick
No pick

The Shawshank Redemption

1994

No pick

Dune

Frank Herbert

No pick

No pick

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: bigger model tier, newer, bigger context window.

DeepSeek V4 Flash and Gemma 3n 2B compared across 27 shared prompts
SpecDeepSeek V4 FlashGemma 3n 2B
Input price$0.14/M tokensFree
Output price$0.28/M tokensFree
Context window1.0M tokens8K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2025
At 10M a month$1.40$1.40$0$0
1M10M100M1B10M tokens

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

Where to run it16 hosts, cheapest first
DeepSeek V4 Flash16 hosts
HostInOutContextUptime
  • OOpenInferencefp4$0.01 in·$1.54 out·1M·100% up
  • RRelacefp4$0.02 in·$1.28 out·1M·100% up
  • SStreamLakefp8$0.08 in·$0.17 out·1M·99.8% up
  • DDeepInfrafp8$0.09 in·$0.18 out·1M·97.8% up
  • GGMI Cloudfp8$0.09 in·$0.18 out·1M·100% up
  • VVenice$0.10 in·$0.19 out·1M·99.5% up
10 more hostsFewer hosts
  • DDigitalOcean$0.10 in·$0.20 out·1M·100% up
  • AAtlasCloudfp4$0.14 in·$0.28 out·1M·95.4% up
  • Baidu Qianfanfp8$0.14 in·$0.28 out·1M·100% up
  • PParasailfp8$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloudfp8$0.15 in·$0.30 out·1M·100% up
  • Azure AI Foundry$0.21 in·$0.56 out·1M·99.7% up
  • WWafer$0.40 in·$0.17 out·1M·96.9% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·384k·93.6% up
  • SSiliconFlowfp8DegradedDegraded on OpenRouter when checked, 12 Oct 2026$0.13 in·$0.28 out·1M·99.2% up
  • MMancerfp8DegradedDegraded on OpenRouter when checked, 12 Oct 2026$0.19 in·$0.50 out·1M·98.3% up
Gemma 3n 2B

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash and Gemma 3n 2B?

DeepSeek V4 Flash is developed by DeepSeek while Gemma 3n 2B is developed by Google AI. DeepSeek V4 Flash has a 1.0M token context window vs Gemma 3n 2B's 8K. You can compare their actual outputs across 27 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Flash or Gemma 3n 2B?

It depends on your use case. DeepSeek V4 Flash and Gemma 3n 2B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 27 challenges so you can judge which fits your needs best.

How much does DeepSeek V4 Flash cost compared to Gemma 3n 2B?

DeepSeek V4 Flash costs $0.14/M input tokens and Gemma 3n 2B costs $0/M input tokens. Gemma 3n 2B is $0.14/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 V4 Flash and Gemma 3n 2B on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash and Gemma 3n 2B 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.

More comparisons

Against the newest arrivals

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  • Gemma 3n 2B vs Ling 3.1 FlashLanded Oct 2026
  • DeepSeek V4 Flash vs Mistral Large 4Landed Oct 2026
  • Gemma 3n 2B vs GPT-6.1 SolLanded Sep 2026
  • DeepSeek V4 Flash vs Claude Sonnet 5.5Landed Sep 2026
  • Gemma 3n 2B vs Solar Mini 4Landed Sep 2026

Same lab, same size, long tail

  • DeepSeek V4 Flash vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V4 Flash vs DeepSeek V4.1 FlashSame lab
  • Gemma 3n 2B vs Gemini 3.8 FlashSame lab
  • Gemma 3n 2B vs Gemini 3.7 FlashSame lab
  • Gemma 3n 2B vs GPT-5.6 LunaNew provider
  • Gemma 3n 2B vs GPT-5.6 Luna ProNew provider
  • Gemma 3n 2B vs GPT-5.6 SolNew provider
  • Gemma 3n 2B vs GPT-5.6 TerraNew provider

Model pages

  • DeepSeek V4 Flash58 outputs, specs and price
  • Gemma 3n 2B27 outputs, specs and price
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