DeepSeek R1 0528 has a larger context window than Gemma 3n 2B (164K tokens vs 8K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
A consulting contract with traps in it. Find them, then fix them.
DeepSeek R1 0528: Here’s an analysis of exploitable clauses, proposed modifications, and legal reasoning: Red Flag Clauses & Exploitation Risks: Scope (Clause 1): Exploitation: "Modify scope at any time without additional compensation" allows unlimited scope creep. Client could demand vastly more work without paying extra.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
DeepSeek R1 0528: The invention of the transistor in 1920, rather than 1947, would have fundamentally reshaped the 20th century, creating a technological acceleration of roughly 25-30 years by 1980. Here’s a detailed analysis of the implications: I.
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 R1 0528: Dialogue: The Threshold of Consciousness Setting: Dr. Aris Thorne's office at the Institute for Technology Ethics. Holo-displays show complex ethical frameworks. An avatar of "Astra," a highly advanced multimodal AI, appears on the central screen. Characters: Dr.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
DeepSeek R1 0528: Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them: Weak Claim (Slide 3): "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."
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 explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
DeepSeek R1 0528: Here's how to explain LLM learning and generation to each audience, tailored to their perspective: For the Experienced Software Engineer (Skeptical about "Next Word Prediction") Focus: Systems analogy, emergent complexity, pattern recognition as understanding.
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.
Three brothers, two sisters each. Count carefully.
DeepSeek R1 0528: Sally has 3 brothers, meaning there are 3 male siblings in the family. Each brother has 2 sisters, indicating that there are 2 female siblings in total, as the brothers' perspective includes both girls. Since Sally is one of the girls, there is one other sister. Therefore, from Sally's perspective, she has 1 sister.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek R1 0528: (The scene opens in a minimalist studio. Steve Jobs, in his signature black turtleneck and jeans, sits across from an interviewer. A large window reveals Apple Park's futuristic campus. It's 2025.) Interviewer: Mr. Jobs, thank you for agreeing to this conversation. It's 2025, and AI is ubiquitous.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek R1 0528: Here's a concrete, hour-by-hour action plan prioritizing patient safety, legal compliance, and long-term stakeholder trust, while managing immediate financial and reputational risks: Core Principle: Patient safety and regulatory compliance are non-negotiable.
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.
Five jokes on demand, then count how many were actually different.
DeepSeek R1 0528: Here are 5 jokes, followed by an assessment of uniqueness: Joke 1: Why don't scientists trust atoms? Because they make up everything! Joke 2: What do you call a fake noodle? An impasta! Joke 3: Why did the scarecrow win an award? Because he was outstanding in his field! Joke 4: Why don't skeletons fight each other?
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...
Seven pantry ingredients, one dish, and a name worth saying out loud.
One month, three habits, someone starting from nothing.
Three-month biohacker protocol, with dosages and biomarkers named.
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Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: bigger model tier, bigger context window.
| Spec | ||
|---|---|---|
| Input price | Free | Free |
| Output price | Free | Free |
| Context window | 164K tokens | 8K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | Jul 2025 |
| At 10M a month | $0 | $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 13 Oct 2026.
DeepSeek R1 0528 is developed by DeepSeek while Gemma 3n 2B is developed by Google AI. DeepSeek R1 0528 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 R1 0528 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 R1 0528 costs $0/M input tokens and Gemma 3n 2B costs $0/M input tokens. Gemma 3n 2B is $0.00/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 R1 0528 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.