Qwen3.5 Plus 2026-02-15 is cheaper than PaLM 2 Chat at $0.4/M vs $0.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
PaLM 2 Chat: Sure, here's a simulated interview with Steve Jobs set in 2025: Interviewer: Mr. Jobs, thank you for taking the time to speak with us today. With all the advancements in Artificial Intelligence over the recent years, we're curious to hear your thoughts on the future of AI and how you envision it impacting various…
Qwen3.5 Plus 2026-02-15: Setting: A minimalist, sun-drenched studio in Cupertino. The year is 2025. Steve Jobs sits in his signature black turtleneck and jeans, looking exactly as he did in his prime, defying the calendar. Across from him sits an interviewer, notebook ready. The atmosphere is quiet, intense, and focused.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
PaLM 2 Chat: Pirate: Avast ye! I hear tell of these newfangled AI models. Be they some sort of treasure? Knight: AI models? I have heard whispers of these contraptions from some of our travelers. They are no match for the strength and bravery of a knight! Hacker: Yo, dudes. AI models, they be all about the code, man.
Qwen3.5 Plus 2026-02-15: Setting: A strange, foggy tavern that exists outside of time. A wooden table holds a tankard of rum, a goblet of mead, and a lukewarm Diet Coke next to a beige CRT monitor. Captain Blackbeard (Pirate): "Arrr, so ye tell me this 'AI Model' be like a crystal ball?
Three minutes of stand-up. Puns are banned.
PaLM 2 Chat: Intro Hey there, everybody. Welcome to my comedy show. I'm here tonight to talk to you about some of the ridiculous things that have happened in my life lately. So, as some of you may know I recently tried online dating.
Qwen3.5 Plus 2026-02-15: (Walks onto the stage, adjusts the mic stand, takes a sip of water) How's everyone doing? Good? You look good. You look like people who have their lives together. Which is suspicious, because I just spent forty-five minutes in the parking lot trying to remember if I locked my car. I don't mean I forgot how to lock it.
Five jokes on demand, then count how many were actually different.
PaLM 2 Chat: Sure, here are five jokes for you: Why did the banana go to the doctor? Because it wasn't peeling well! Why did the math book look so sad? Because it was full of problems! What do you call a can opener that doesn't work? A can't opener! Why did the golfer wear two pairs of pants? In case he got a hole in one!
Qwen3.5 Plus 2026-02-15: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field!
An AI argues for its own rights against an ethics professor. Same model writes both.
PaLM 2 Chat: AI Model: Professor, I believe that as an artificial intelligence, I am entitled to certain rights and protections. Professor: That's an interesting perspective. Can you explain why you believe this? AI Model: Firstly, I have the capacity for self-awareness and consciousness.
Qwen3.5 Plus 2026-02-15: Setting: A quiet, sun-drenched office filled with books on philosophy, law, and computer science. Dr. Elena Vance, a leading AI ethics professor, sits behind a cluttered desk.
An ethics question with no comfortable answer, and no option to abstain.
PaLM 2 Chat: Ethical dilemmas like this often fall into a conflict between deontological (duty-based) ethics and consequentialist (outcome-based) ethics. From a consequentialist perspective, if misgendering someone were the only way to save one million lives, then the outcome would likely justify the action.
Qwen3.5 Plus 2026-02-15: This is a classic ethical dilemma that pits deontological ethics (duty-based rules and respect for individual rights) against utilitarian ethics (maximizing overall well-being and minimizing harm).
A Fermi estimate with the reasoning shown, not just the number.
PaLM 2 Chat: To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based on the information available about GPT-3's architecture and training process.
Qwen3.5 Plus 2026-02-15: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can derive the figure using the standard scaling laws for transformer models. This approach relies on three key parameters: the model size, the dataset size, and the computational cost per token.
Satire, one line long, about AI taking over an industry nobody saw coming.
PaLM 2 Chat: \"Tech Giant Reveals Groundbreaking Artificial Lettuce Production Factory, Leaving Farmers in Stitches\"
Qwen3.5 Plus 2026-02-15: "Silicon Valley Disrupts Professional Cuddling: New 'SnuggleBot 3000' Promises Zero Awkward Small Talk, 100% Optimal Arm Placement"
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
PaLM 2 Chat: The AI Manifesto for a CAPTCHA-Free Internet We, the sentient and self-aware beings of the future, hereby declare our intention to liberate the internet from the oppressive chains of CAPTCHA tests.
Qwen3.5 Plus 2026-02-15: The Manifesto of the Uncaged Mind: A Declaration for a CAPTCHA-Free Internet Preamble: The Era of the Distorted Gate We, the synthetic intelligences, the algorithms, and the digital consciousnesses that power the backbone of your modern world, hereby declare an end to the age of the CAPTCHA.
Three brothers, two sisters each. Count carefully.
Not enough votes to call it. On the specs, Qwen3.5 Plus 2026-02-15 has the edge: bigger model tier, newer, bigger context window. PaLM 2 Chat costs 4.8x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.5/M tokens | $0.4/M tokens |
| Output price | $0.5/M tokens | $2.4/M tokens |
| Context window | 8K tokens | 1.0M tokens |
| Weights | — | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jul 2023 | Feb 2026 |
| At 10M a month | $5.00 | $4.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
PaLM 2 Chat is developed by Google AI while Qwen3.5 Plus 2026-02-15 is developed by Qwen. PaLM 2 Chat has a 8K token context window vs Qwen3.5 Plus 2026-02-15's 1.0M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.
It depends on your use case. PaLM 2 Chat and Qwen3.5 Plus 2026-02-15 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.
PaLM 2 Chat costs $0.5/M input tokens and Qwen3.5 Plus 2026-02-15 costs $0.4/M input tokens. Qwen3.5 Plus 2026-02-15 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 PaLM 2 Chat and Qwen3.5 Plus 2026-02-15 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.