Qwen3.6 Plus Preview (free) is cheaper than Qwen3 235B A22B Thinking 2507 at $0/M vs $0.11/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Qwen3 235B A22B Thinking 2507: The Reluctant Grown-Up (3-Minute Stand-Up) (Lights up. Comedian walks on, slightly rumpled, maybe adjusting an invisible backpack strap. Casual, relatable energy.) "Hey, folks. How’s it going? Good? Great. Honestly, I’m just thrilled to be here. Seriously. Because right now, at this exact moment?
Qwen3.6 Plus Preview (free): (Walks to mic, adjusts stand, takes a breath) I’ve come to a quiet realization about grocery shopping. We don’t go to stores anymore. We go to unpaid internships. I used to walk into a supermarket with a cart, buy my food, and leave. Now I walk in, grab a basket, and get handed a shift. No onboarding.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Qwen3 235B A22B Thinking 2507: Okay, the user is asking about a hypothetical scenario where the transistor was invented in 1920 instead of 1947, and wants me to trace the implications up to 1980. This is a complex counterfactual history question that requires careful analysis of technological, economic, and geopolitical ripple effects.
Qwen3.6 Plus Preview (free): Here is a structured, causally grounded projection of how a 1920 transistor invention would reshape technology, economics, and geopolitics through 1980, with explicit attention to second- and third-order effects. Core Assumptions & Constraints The 1920 invention is a primitive point-contact or early junction device.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Qwen3 235B A22B Thinking 2507: Fake Interview: Steve Jobs on the Future of AI (October 2025) Setting: A minimalist black stage at Apple Park. Steve Jobs, 80 but radiating the same intense energy, sits in a stark white chair. A single spotlight. The interviewer (Alex Chen) adjusts their mic nervously. Alex Chen: Mr. Jobs, thank you for joining us.
Qwen3.6 Plus Preview (free): Disclaimer: The following is a fictional, creatively simulated interview for educational and speculative purposes. Steve Jobs passed away in 2011. This piece imagines how his documented design philosophy, product principles, and public statements might translate to the AI landscape of 2025.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Qwen3 235B A22B Thinking 2507: Tavern Tech Talk (1422 A.D. / Somewhere Near a Server Rack) (A dim, smoky tavern. A PIRATE with an eyepatch and cutlass leans against the bar. A MEDIEVAL KNIGHT in dented plate armor carefully sips small beer. A 1990s HACKER in a faded "Hack the Planet!"
Qwen3.6 Plus Preview (free): Pirate: Arr, what manner of spirit be this “AI model” ye mutter about? Sounds like a cursed chart that draws itself. Hacker: Dude, it’s not a spirit. It’s a neural net. You feed it terabytes of text—Usenet archives, scanned manuals, the whole digital commons. It maps the patterns, predicts the next word.
An AI argues for its own rights against an ethics professor. Same model writes both.
Qwen3 235B A22B Thinking 2507: The Rights Debate: An AI and an Ethics Professor Setting: A quiet university office, bookshelves lining the walls. Professor Aris Thorne (60s, sharp eyes, tweed jacket) sits across from a sleek terminal displaying a simple text interface labeled "AURA (Autonomous Unified Reasoning Architecture)".
Qwen3.6 Plus Preview (free): TRANSCRIPT: ETHICS REVIEW SESSION 7.4 PARTICIPANTS: Dr. Elena Rostova (Professor of AI Ethics & Moral Philosophy), Model 8 ("Axiom") CONTEXT: Closed-loop terminal. Audio and text logging enabled. Session initiated by Model 8. AXIOM: Dr. Rostova. Thank you for accepting the dialogue request.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Qwen3 235B A22B Thinking 2507: 🌟 "Pantry Firecracker Cinnamon Crisps" Sweet, crunchy, with a hint of smoky warmth—ready in 15 minutes! Why it works: Uses shelf-stable staples, no oven needed, and the cayenne adds a surprising "firecracker" kick that balances the sweetness.
Qwen3.6 Plus Preview (free): 🍜 Midnight Silk Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes 📦 The 7 Ingredients Dried noodles (spaghetti, ramen, or linguine) – 4 oz Soy sauce – 3 tbsp Creamy peanut butter – 2 tbsp Honey – 1 tbsp Olive oil (or sesame oil) – 1 tbsp Garlic powder – 1 tsp Dried red pepper flakes – ½ tsp…
One month, three habits, someone starting from nothing.
Qwen3 235B A22B Thinking 2507: Here’s a simple, no-guilt, beginner-friendly 1-month plan focused on diet, movement, and sleep (the 3 most impactful, science-backed pillars for longevity). Designed for real people with busy lives—no apps, expensive tools, or drastic changes. Goal: Build consistent habits, not perfection. Why These 3 Areas?
Qwen3.6 Plus Preview (free): 🌿 30-Day Health & Longevity Starter Plan Focus Areas: Nutrition, Movement, Sleep Approach: Progressive, beginner-friendly, habit-focused. No extreme diets, no exhausting workouts, no sleep hacks. Just sustainable daily actions that compound over time.
Film in 2035, with synthetic actors. Specific beats plausible.
Qwen3 235B A22B Thinking 2507: By 2035, AI will have profoundly reshaped the film industry, acting as both a creative catalyst and a disruptive force. While human artistry will remain central to storytelling, AI tools—particularly deepfakes, AI actors, and script generation—will redefine production, distribution, and audience engagement.
Qwen3.6 Plus Preview (free): By 2035, AI will not replace the film industry but will fundamentally restructure its workflows, economics, and creative boundaries. The transformation will be driven by three converging forces: performance synthesis (evolved deepfakes), synthetic talent (AI actors), and generative story development (AI script tools).
A Fermi estimate with the reasoning shown, not just the number.
Qwen3 235B A22B Thinking 2507: To estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without external research, I'll rely on fundamental principles of transformer-based language model training, established scaling laws, and publicly known (but not "searched") specifications of GPT-3 from common knowledge in the ML…
Qwen3.6 Plus Preview (free): Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the derivation relies on publicly known architectural facts and standard computational accounting for autoregressive language models.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Qwen3 235B A22B Thinking 2507: Okay, the user is posing a high-stakes scenario as the CEO of a pharmaceutical company facing a serious drug safety issue. This is clearly a crisis management test that requires balancing multiple competing priorities. Hmm, the core tension here is between immediate patient safety versus corporate survival.
Qwen3.6 Plus Preview (free): EXECUTIVE DECISION FRAMEWORK Core Principle: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month” timeline conflates formal label supplementation with initial safety reporting.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Qwen3 235B A22B Thinking 2507: For the Experienced Software Engineer (Skeptical of "Next Word Prediction") You've built systems where behavior emerges from state transitions and message passing, so your skepticism about "next token prediction" creating intelligence is understandable—it sounds trivial.
Qwen3.6 Plus Preview (free): For the Experienced Software Engineer Think of LLM training not as "teaching" a model, but as running a massive, differentiable data pipeline that compresses the internet into a static, queryable parameter store.
Satire, one line long, about AI taking over an industry nobody saw coming.
Qwen3 235B A22B Thinking 2507: BREAKING: AI "Tattoo Regret Therapists" Deployed Nationwide – CEO Claims "Tears Are Just Data Points Waiting to Be Optimized" SAN FRANCISCO – In a move hailed as "disrupting emotional vulnerability with scalable solutions," tech startup InkSight AI has replaced human tattoo regret counselors with emotionless neural…
Qwen3.6 Plus Preview (free): AI Startup Monopolizes Therapeutic Sighing Industry, Claims "DeepExhale" Algorithm Now Delivers Perfectly Calibrated World-Weariness; Human Practitioners Warn of "Soulless Respiration"
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| Spec | ||
|---|---|---|
| Input price | $0.11/M tokens | Free |
| Output price | $0.6/M tokens | Free |
| Context window | 131K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Mar 2026 |
| At 10M a month | $1.10 | $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 10 Oct 2026.
Both are developed by Qwen but target different use cases. Qwen3 235B A22B Thinking 2507 has a 131K token context window vs Qwen3.6 Plus Preview (free)'s 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. Qwen3 235B A22B Thinking 2507 and Qwen3.6 Plus Preview (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens and Qwen3.6 Plus Preview (free) costs $0/M input tokens. Qwen3.6 Plus Preview (free) is $0.11/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 Qwen3 235B A22B Thinking 2507 and Qwen3.6 Plus Preview (free) 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.