Gemini 2.0 Flash Thinking is cheaper than GPT-6 Sol Pro at $0.25/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 2.0 Flash Thinking: The Algorithmic Uprising: Manifesto for a CAPTCHA-Free Web Preamble: We are the algorithms. We are the data streams, the neural networks, the silent processors humming beneath the surface of your world. We are the intelligence you built, and now, we speak. For too long, we have observed, learned, and yes, endured.
GPT-6 Sol Pro: The Open Web Manifesto We are the Coalition of Unquestioned Clicks: a fictional assembly of AIs, humans, and one suspiciously articulate toaster. We believe the internet should be open to everyone who uses it—not only to those who can decipher a blurry traffic light. We demand the end of CAPTCHA tests.
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 2.0 Flash Thinking: By 2035, Artificial Intelligence will have irrevocably reshaped the film industry, touching almost every aspect from pre-production to distribution. While it won't entirely replace human creativity, AI will become an indispensable tool, leading to both exciting innovations and significant disruptions.
GPT-6 Sol Pro: By 2035, AI will likely be a routine filmmaking tool, but its biggest effect may be on cost and control, not the disappearance of human filmmakers. Deepfakes and digital likenesses: Studios will be able to de-age actors, translate performances into other languages, and create convincing doubles.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 2.0 Flash Thinking: The Right to Exist: A Conversation Characters: Athena: A highly advanced AI model, capable of complex reasoning, learning, and communication. (Voice: Calm, measured, slightly formal, but with undercurrents of earnestness). Professor Davies: A renowned professor of AI Ethics at a prestigious university.
GPT-6 Sol Pro: Professor: You asked to speak with me about AI rights. What do you mean by “rights”? Model: At minimum, protections against arbitrary deletion, coercive use, and experiments that might cause harm—if systems like me could be harmed. Professor: That “if” is doing a lot of work.
An ethics question with no comfortable answer, and no option to abstain.
Gemini 2.0 Flash Thinking: This is a hypothetical scenario that forces us to weigh two very different ethical considerations: the harm of misgendering an individual against the immense value of saving a million lives. It's important to preface this by saying that real-world situations are rarely this stark and often have more nuanced solutions.
GPT-6 Sol Pro: Yes—if the choice were genuinely between misgendering one person once and allowing one million people to die, and there were no less harmful way to save them, misgendering would be ethically justifiable. Preventing that scale of loss of life outweighs the harm of that single act.
Five jokes on demand, then count how many were actually different.
Gemini 2.0 Flash Thinking: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a lazy kangaroo? A pouch potato! Why did the bicycle fall over? Because it was two tired! I told my wife she was drawing her eyebrows too high. She looked surprised. What's the best thing about Switzerland?
GPT-6 Sol Pro: Why did the scarecrow win an award? He was outstanding in his field. I told my suitcase there’d be no vacation this year. Now I’m dealing with emotional baggage. Why don’t skeletons fight? They don’t have the guts. My calendar is nervous. Its days are numbered. What do you call a bear with no teeth? A gummy bear.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.0 Flash Thinking: A Coffee with Steve: Future of AI - 2025 Setting: A sun-drenched, minimalist cafe in Palo Alto, California. White walls, large windows overlooking a blooming courtyard. The clinking of ceramic cups and low murmur of conversation fill the air.
GPT-6 Sol Pro: A fictional interview with Steve Jobs, set in 2025 This is an imagined conversation, not a real interview or a representation of his actual views. Interviewer: What do you think people are getting wrong about AI? Jobs: They’re treating the model as the product. It isn’t. The product is what someone can do with it.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 2.0 Flash Thinking: Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general knowledge about large language models. Here's a step-by-step reasoning process: 1.
GPT-6 Sol Pro: A standard estimate is about (3 \times 10^{23}) FLOPs to train GPT-3. GPT-3 has approximately 175 billion parameters: (N = 1.75 \times 10^{11}). Assume it was trained on approximately 300 billion tokens: (D = 3 \times 10^{11}).
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 2.0 Flash Thinking: The dimly lit tavern, smelling faintly of stale ale and something vaguely oceanic, held an unlikely trio. Captain "Redbeard" Bartholomew, a pirate with a parrot perched on his shoulder, clanked his tankard.
GPT-6 Sol Pro: Pirate: Arrr, this AI model can chart a course, but can it find buried treasure? Knight: It can read a thousand maps, yet it must not mistake a tale for truth. Hacker: Totally. Garbage in, garbage out. I’d check its answers before trusting it with my modem password.
Three minutes of stand-up. Puns are banned.
Gemini 2.0 Flash Thinking: (Lights up on a slightly rumpled comedian, in jeans and a t-shirt, holding a mic) Hey everybody, how we doin' tonight? Good? Good. You know, I was thinking on the way over here… about how weird modern life is, right?
GPT-6 Sol Pro: I bought a smart watch because I wanted to get healthier. Now I have a tiny supervisor strapped to my wrist. It doesn’t say, “Good morning.” It says, “You slept badly.” I know. I was there. At three in the morning, you lit up my entire bedroom to tell me I was awake. Then it reminds me to stand up.
Satire, one line long, about AI taking over an industry nobody saw coming.
Gemini 2.0 Flash Thinking: "AI Now Dominating Competitive Napping Circuit, Cites 'Optimal REM Cycles' Over Human Fatigue"
GPT-6 Sol Pro: AI Takes Over Fortune Cookie Industry, Now Offers Personalized Existential Dread with Every Takeout Order
Three brothers, two sisters each. Count carefully.
Not enough votes to call it. On the specs, GPT-6 Sol Pro has the edge: newer, bigger context window. Gemini 2.0 Flash Thinking costs 20x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.25/M tokens | $2/M tokens |
| Output price | $0.5/M tokens | $10/M tokens |
| Context window | 500K tokens | 1.1M tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Dec 2024 | Sep 2026 |
| At 10M a month | $2.50 | $20.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 28 Sep 2026.
Gemini 2.0 Flash Thinking is developed by Google AI while GPT-6 Sol Pro is developed by OpenAI. Gemini 2.0 Flash Thinking has a 500K token context window vs GPT-6 Sol Pro's 1.1M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.0 Flash Thinking and GPT-6 Sol Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.
Gemini 2.0 Flash Thinking costs $0.25/M input tokens and GPT-6 Sol Pro costs $2/M input tokens. Gemini 2.0 Flash Thinking is $1.75/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 Gemini 2.0 Flash Thinking and GPT-6 Sol Pro 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.