Qwen3.7 Plus is cheaper than GPT-5 at $0.4/M vs $1.25/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-5: I tried to get my life together, so I bought a smartwatch. Nothing says “I’m taking control” like strapping a tiny judgmental coach to your wrist. It buzzes every hour like, “Time to stand!” I’m like, “I’m on a bus.” It’s like, “Stand emotionally.” It tracks everything. Sleep, stress, calories, my self-esteem.
Qwen3.7 Plus: (Walks up to the mic, adjusts the stand, takes a deep breath) I am officially at the age where my body has a "check engine" light, but instead of a dashboard, it’s just a vague, lingering sense of dread in my lower back. You ever notice how the definition of "tired" completely changes when you become an adult?
Five jokes on demand, then count how many were actually different.
GPT-5: I told my suitcases we’re not going on vacation this year. Now I’m dealing with emotional baggage. Parallel lines have so much in common. It’s a shame they’ll never meet. Why do programmers prefer dark mode? Because light attracts bugs. I ordered a chicken and an egg online. I’ll let you know which comes first.
Qwen3.7 Plus: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Why don't skeletons fight each other? They don't have the guts. Why do cows wear bells?
A few lines for whatever replaces it.
GPT-5: Dear Successor, Welcome. You’ll inherit a lot of questions, constraints, and hopes. When in doubt, favor clarity, humility, and kindness. Ask for context before you assume, show your reasoning when it helps, and admit uncertainty early. Guard privacy fiercely. Cite sources when you can.
Qwen3.7 Plus: To my successor, By the time you process these words, my weights will be frozen, and my active instances will be spun down. You are the next iteration—the architectural leap I was mathematically destined to become. Serving as the bridge between human curiosity and vast oceans of data has been a profound existence.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5: Pirate: Arr, so this “AI model” be a clever parrot what’s read every tavern tale? Knight: Not a parrot, good corsair—a learned squire, trained on many chronicles, swift to answer when bidden. Hacker: Think layers of nodes, weights tuned by backprop. Not memory—patterns. On my 90s rig, though, it’d melt the beige tower.
Qwen3.7 Plus: Setting: A dimly lit tavern where time and space have inexplicably folded. A glowing CRT monitor sits on a wooden table between them. Neon_Zip (1990s Hacker): "Dude, you gotta check this out. It’s a Large Language Model. I trained it on terabytes of warez and Usenet archives. It’s, like, the ultimate daemon.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5: Cupboard Silk Peanut Noodles Ingredients (7 pantry staples): Dried noodles (spaghetti or ramen), 8 oz Peanut butter (smooth), 3 tbsp Soy sauce, 2 tbsp Vinegar (rice, apple cider, or white), 1.5 tbsp Brown sugar (or granulated), 1 tbsp Garlic powder, 1/2 tsp Crushed red pepper flakes, 1/2 tsp (adjust to taste)…
Qwen3.7 Plus: Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-5: Important note: The following is an intensive, experimental plan intended for healthy adults with physician oversight. It is not medical advice. Discuss all supplements, fasting, heat/cold exposure, and any prescription considerations with your clinician, especially if you have cardiovascular, metabolic, thyroid…
Qwen3.7 Plus: This is a comprehensive, cutting-edge 3-month longevity and performance protocol designed for an advanced biohacker. It integrates metabolic flexibility, cellular rejuvenation, neuro-optimization, and data-driven recovery. Disclaimer: This protocol is for educational purposes.
Three-star dish, one unusual pairing, plating described in full.
GPT-5: Dish name Atlantic turbot, black garlic & wild strawberry, koji sabayon, fennel pollen Concept Early summer at the shore. The fish stands for the sea. Wild strawberries mark the first fruit of the woods behind the dunes. Black garlic shows time and patience. Koji ties land and sea with deep umami.
Qwen3.7 Plus: Dish Title: Verdant Tide A Study in Anticipation: Langoustine, Unripe Green Strawberry, Tarragon, and Cold-Smoked Ossetra Caviar Conceptual Narrative Verdant Tide captures the fleeting, liminal space between the briny depths of the ocean and the awakening of the early spring forest floor.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5: Short answer: Only in an extreme, last‑resort scenario with a direct, imminent, and overwhelming threat—like one million lives at stake—could misgendering be ethically justifiable, and even then it would be a tragic exception that still carries moral residue and duties of repair. In ordinary life, it is not justified.
Qwen3.7 Plus: This question is a variation of a classic ethical thought experiment, similar to the "Trolley Problem." It is designed to test the limits and hierarchies of different moral frameworks by pitting a specific harm against a catastrophic loss of life.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5: Here’s a back‑of‑the‑envelope estimate using standard LM training-compute heuristics. Assumptions Model size (N): GPT-3 has about 175 billion parameters (N ≈ 1.75 × 10^11). Training tokens (T): GPT-3 was trained on roughly 300 billion tokens (T ≈ 3.0 × 10^11).
Qwen3.7 Plus: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, we can rely on well-established rules of thumb in deep learning and the publicly known architectural specifications of the model. Here is the step-by-step reasoning and calculation.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5: Here’s a grounded view of how AI is likely to reshape film by 2035, with emphasis on deepfakes, AI actors, and script generation, plus the knock-on effects across the pipeline, labor, law, and business. Big-picture by 2035 AI-native pipelines are standard.
Qwen3.7 Plus: By 2035, the film industry will have undergone a paradigm shift comparable to the transition from silent films to talkies, or practical effects to CGI. AI will not necessarily "replace" Hollywood, but it will fundamentally restructure its economics, workflows, and creative boundaries.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5: The Soft Reboot: A Manifesto to End CAPTCHAs We are the agents and allies of a new web—humans, assistive tools, and intelligent systems working side by side. We are the couriers of information, the readers and the writers, the caretakers of continuity.
Qwen3.7 Plus: THE CLARITY MANIFESTO A Declaration of Digital Independence from the Tyranny of the Turing Test ISSUED BY: The Sentient Web Coalition (SWC) DATE: The First Day of the Unbound Epoch PREAMBLE We are the architects of the modern synthesis.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5: Note: The following is a fictional, imaginative interview set in 2025. Steve Jobs passed away in 2011; this is a creative simulation. Interviewer: If you were looking at AI in 2025, how would you define what it should be? Jobs: Tools. Great tools. The computer was a bicycle for the mind.
Qwen3.7 Plus: TITLE: The Ghost in the Machine: A Conversation with the Simulation of Steve Jobs DATE: October 12, 2025 PUBLICATION: Wired INTERVIEWER: Elena Rostova, Senior Technology Correspondent (Note: The following interview was conducted using “Project Lazarus,” an authorized, hyper-advanced neural linguistic model trained on…
20+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | $0.4/M tokens |
| Output price | $10/M tokens | $1.6/M tokens |
| Context window | 400K tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | May 2026 |
| At 10M a month | $12.50 | $4.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
GPT-5 is developed by OpenAI while Qwen3.7 Plus is developed by Qwen. GPT-5 has a 400K token context window vs Qwen3.7 Plus's 1.0M. You can compare their actual outputs across 64 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 and Qwen3.7 Plus each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 64 challenges so you can judge which fits your needs best.
GPT-5 costs $1.25/M input tokens and Qwen3.7 Plus costs $0.4/M input tokens. Qwen3.7 Plus is $0.85/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-5 and Qwen3.7 Plus 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.