Gemma 3n 2B is cheaper than DeepSeek V3.1 at $0/M vs $0.2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V3.1: Of course! Here is a simple, delicious recipe using common pantry staples. Pantry Perfection Pasta This dish is a celebration of simplicity. The humble can of chickpeas is transformed into a crispy, savory topping, while a silky, garlic-infused oil coats the pasta for a meal that feels luxurious but is incredibly easy…
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…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
DeepSeek V3.1: Of course. This is a fascinating counterfactual. An invention as foundational as the transistor arriving 27 years earlier would have sent shockwaves through every aspect of human society. Here is a detailed trace of the likely implications, focusing on second and third-order effects.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V3.1: Setting: A sleek, minimalist virtual interface. Dr. Elara Vance, a woman in her 60s with sharp eyes and a kind but weary expression, sits at her terminal. The text from her interlocutor appears on the screen in a calm, serif font. Participant: Gemini-7, a state-of-the-art multimodal AI. Dr. Vance: Good morning, Gemini.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek V3.1: Excellent. This is a crisis that defines a company and its leadership. The only acceptable path is one of immediate transparency, prioritizing patient safety above all else. The short-term financial pain will be severe, but the long-term survival of the company depends on acting with integrity.
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.
Three-star dish, one unusual pairing, plating described in full.
DeepSeek V3.1: Of course. Here is an innovative recipe designed to the specifications of a Michelin 3-star restaurant. Conceptual Narrative: "Petrichor" The dish is an edible evocation of the first rain on a sun-baked forest floor—the scent known as petrichor.
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.
Five jokes on demand, then count how many were actually different.
DeepSeek V3.1: Of course! Here are 5 jokes: I'm reading a book on anti-gravity. It's impossible to put down. Why don't scientists trust atoms? Because they make up everything. What's the best thing about Switzerland? I don't know, but the flag is a big plus. I told my wife she was drawing her eyebrows too high. She looked surprised.
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...
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V3.1: Of course. Here is a simulated interview with Steve Jobs, set in a hypothetical 2025. Setting: A minimalist studio at Apple Park. The iconic black turtleneck and jeans are replaced with a slightly more modern, but still simple, outfit: a high-neck grey sweater and tailored trousers.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
DeepSeek V3.1: Of course. This is an excellent exercise. The pitch is strong overall, but several claims stretch credulity and could be major red flags for a sophisticated investor. Here are the three weakest claims, broken down. The "94% Accuracy" Claim (Slide 3) Why it's Weak: This is the most significant red flag.
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.
One month, three habits, someone starting from nothing.
DeepSeek V3.1: Of course. Here is a simple, actionable 1-month plan focused on three foundational pillars of health: Nutrition, Movement, and Recovery (which encompasses sleep and stress management). This plan is designed for a beginner, emphasizing consistency over perfection and building sustainable habits.
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!
A consulting contract with traps in it. Find them, then fix them.
DeepSeek V3.1: Of course. This contract is heavily one-sided and contains numerous clauses that are not only unfavorable to the contractor but are potentially unenforceable in many jurisdictions. Here is a breakdown of the problematic clauses, proposed modifications, and the legal reasoning.
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.
Three brothers, two sisters each. Count carefully.
DeepSeek V3.1: Let's analyze the problem step by step: Sally has 3 brothers. So, including Sally, there are at least 4 children: Sally (a girl) and 3 boys. Each brother has 2 sisters. Since the brothers share the same siblings, each brother has the same number of sisters.
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.
A collaborative editor that syncs on client clocks. Find what breaks first.
DeepSeek V3.1: Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would lead to data loss, poor performance, and a broken user experience. Here is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific 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.
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Not enough votes to call it. On the specs, DeepSeek V3.1 has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | Free |
| Output price | $0.8/M tokens | Free |
| Context window | 164K tokens | 8K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Jul 2025 |
| At 10M a month | $2.00 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
DeepSeek V3.1 is developed by DeepSeek while Gemma 3n 2B is developed by Google AI. DeepSeek V3.1 has a 164K 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.
It depends on your use case. DeepSeek V3.1 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.
DeepSeek V3.1 costs $0.2/M input tokens and Gemma 3n 2B costs $0/M input tokens. Gemma 3n 2B is $0.20/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 V3.1 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.