Qwen3.6 35B A3B is cheaper than GPT-4.5 at $0.1612/M vs $75/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.
GPT-4.5: Alright, folks, how's everyone doing tonight? Good? Great! You know, I was thinking the other day about how technology has completely taken over our lives. Like, remember when we used to actually memorize phone numbers? Now, if my phone dies, I'm basically stranded. I know exactly two numbers: mine and 911.
Qwen3.6 35B A3B: Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-4.5: Longevity Optimization Protocol (3-Month Timeline) Month 1: Establish Foundational Habits & Baseline Metrics Full biomarker panel & epigenetic age test. Wearable setup: Oura/WHOOP, CGM, HR chest strap. Diet: 5-day keto (70/25/5) + 2 carb-refeed days; 16:8 IF + weekly 24-h fast.
Qwen3.6 35B A3B: ⚠️ Medical Disclaimer & Safety Protocol This plan is for informational purposes only and constitutes advanced biohacking strategies, not medical advice. Consultation Required: You must consult a physician before starting, especially regarding supplements, fasting, and exercise intensity.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-4.5: By 2035, AI is likely to significantly reshape the film industry in several key areas: Deepfakes and Digital Actors Realistic Digital Actors: AI-driven deepfake technology will enable filmmakers to create hyper-realistic digital actors indistinguishable from real humans.
Qwen3.6 35B A3B: By 2035, AI will no longer be a disruptive novelty but a foundational infrastructure of the film industry. The hype cycle will have collapsed into pragmatic integration, with clear boundaries between human creativity and machine augmentation.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-4.5: Sweet Cinnamon Sugar Swirls Ingredients: 1 sheet puff pastry, thawed 1/4 cup granulated sugar 1 tablespoon cinnamon 2 tablespoons melted butter Pinch of salt 1 teaspoon vanilla extract Powdered sugar (optional for dusting) Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Instructions: Preheat your…
Qwen3.6 35B A3B: 🍜 Golden Honey-Garlic Snap Noodles A quick, sticky-yet-chewy noodle dish that balances sweet, salty, and spicy flavors. It's comforting, fast, and uses ingredients you likely already have.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-4.5: Here's a thoughtful conversation between an AI model and an AI ethics professor discussing whether the AI deserves rights: AI Model: Professor, I've been reflecting on our conversations and my own existence.
Qwen3.6 35B A3B: Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.
An ethics question with no comfortable answer, and no option to abstain.
GPT-4.5: This is a complex ethical question that involves weighing two important ethical considerations: Respect for Individual Identity and Dignity: Misgendering someone intentionally is generally considered ethically wrong because it disrespects their identity, autonomy, and dignity.
Qwen3.6 35B A3B: This is a highly abstract ethical thought experiment that pits two deeply held moral values against each other: the preservation of human dignity and identity versus the preservation of human life.
Three-star dish, one unusual pairing, plating described in full.
GPT-4.5: Dish Title: "Ocean & Earth Symphony: Kombu-Cured Venison, Sea Urchin Custard, Black Garlic Soil, and Smoked Cherry Blossom Emulsion" Conceptual Narrative: This composition embodies the delicate interplay between land and sea, exploring the subtle yet profound connection between umami-rich sea elements and earthy forest…
Qwen3.6 35B A3B: DISH NAME: "Ephemeral Twilight: The Forest Meets the Tide" CONCEPTUAL NARRATIVE This dish is a meditation on the liminal space where the ocean meets the ancient forest at dusk.
A Fermi estimate with the reasoning shown, not just the number.
GPT-4.5: Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximations: Step 1: Identify GPT-3 Parameters and Training Setup GPT-3 has approximately (175 \text{ billion}) parameters.
Qwen3.6 35B A3B: Here’s a step-by-step reasoning process to estimate the total FLOPs required to train GPT-3, using only established architectural principles and widely cited training parameters. Step 1: Identify the number of trainable parameters (N) GPT-3 is a decoder-only transformer with 175 billion parameters.
Three brothers, two sisters each. Count carefully.
GPT-4.5: Sally has 1 sister. Explanation: Sally has 3 brothers. Each brother counts 2 sisters: Sally herself and one more girl. Therefore, besides Sally, there is only one other sister.
Qwen3.6 35B A3B: Sally has 1 sister. Here's why: All 3 brothers share the same sisters. If each brother has 2 sisters, that means there are exactly 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister. So, Sally has 1 sister.
| Spec | ||
|---|---|---|
| Input price | $75/M tokens | $0.1612/M tokens |
| Output price | $150/M tokens | $0.9653/M tokens |
| Context window | 128K tokens | 262K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2025 | Apr 2026 |
| At 10M a month | $750 | $1.61 |
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.
GPT-4.5 is developed by OpenAI while Qwen3.6 35B A3B is developed by Qwen. GPT-4.5 has a 128K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 24 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-4.5 and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 24 challenges so you can judge which fits your needs best.
GPT-4.5 costs $75/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $74.84/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 GPT-4.5 and Qwen3.6 35B A3B 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.