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  5. Gemma 3n 2BvsGPT-6 Luna
Updated Sep 2026

Gemma 3n 2BvsGPT-6 Luna

Gemma 3n 2B is cheaper than GPT-6 Luna at $0/M vs $0.1/M input tokens.

Gemma 3n 2B and GPT-6 Luna compared across 15 shared prompts
SpecGemma 3n 2BGPT-6 Luna
Input priceFree$0.1/M tokens
Output priceFree$0.5/M tokens
Context window8K tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 prompts both answered. Formatting stripped, words untouched.

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Gemma 3n 2B1,395 words
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.
Read the full answer
GPT-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Gemma 3n 2B700 words
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.
Read the full answer
GPT-6 Luna421 words
“94% accuracy” and “predict what you want to type before you think it” Why it’s weak: This is the deck’s central technical claim, but “accuracy” is undefined: Is it word-level or character-level accuracy, measured on a fixed vocabulary or open-ended text, and under what conditions?
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Gemma 3n 2B880 words
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!
Read the full answer
GPT-6 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
Read the full answer

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Gemma 3n 2B1,240 words
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.
Read the full answer
GPT-6 Luna1,472 words
The most important caveat is that inventing a transistor is not the same as inventing the modern semiconductor industry. A device demonstrated in 1920 might be a crude, low-power, unreliable point-contact transistor.
Read the full answer

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Gemma 3n 2B1,226 words
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.
Read the full answer
GPT-6 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Gemma 3n 2B1,033 words
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.
Read the full answer
GPT-6 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
Read the full answer
Our Verdict
GPT-6 Luna
GPT-6 Luna
Gemma 3n 2B
Gemma 3n 2BRunner-up

Not enough votes to call it. On the specs, GPT-6 Luna has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemma 3n 2B
Input
$0.000
Output
$0.000
GPT-6 Luna
Input
$0.10
Output
$0.50
Where to run it

3 hosts, cheapest first

Gemma 3n 2B

No hosts listed on OpenRouter.

GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Gemma 3n 2B is developed by Google AI while GPT-6 Luna is developed by OpenAI. Gemma 3n 2B has a 8K token context window vs GPT-6 Luna's 1.1M. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemma 3n 2B and GPT-6 Luna each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

Gemma 3n 2B costs $0/M input tokens and GPT-6 Luna costs $0.1/M input tokens. Gemma 3n 2B is $0.10/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 Gemma 3n 2B and GPT-6 Luna 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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Model pages

Gemma 3n 2B logo
Gemma 3n 2B27 outputs, specs and price
GPT-6 Luna logo
GPT-6 Luna20 outputs, specs and price
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