Qwen3 Coder Flash is cheaper than GPT-5.2 Chat at $0.3/M vs $1.75/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-5.2 Chat: Below is a concise but fully worked underwriting using only your inputs. Minor rounding throughout. Operating & Cash Flow Build (Base Case) Entry (end FY2025) EBITDA: $120m EV @ 12.0x: $1,440m Debt: $660m (TL $480m / Mezz $180m) Fees (2% EV): $28.8m Equity invested: $808.8m Year-by-Year Summary ($mm) FY Revenue EBITDA…
Qwen3 Coder Flash: 1) Year-by-Year Financial Projections (FY2026–FY2030) Year Revenue EBITDA Cash Interest Taxes Capex ΔNWC FCF After Debt Service Ending Debt (TL + Mezz) FY2026 $972M $138M $10.8M (TL) + $1.8M (Mezz) = $12.6M $29.3M $29.2M $4.9M $48.3M $495M FY2027 $1,041M $159M $10.8M (TL) + $1.8M (Mezz) = $12.6M $31.8M $31.2M $5.2M…
Three minutes of stand-up. Puns are banned.
GPT-5.2 Chat: Alright, so I’m at that age where my phone knows me better than my family. My mom will call and ask how I’m doing, and I’m like, “I don’t know yet, I haven’t checked my phone.” My phone is very confident, though. It’s like, “Based on your recent activity, you are sad at 11:47 p.m. and hungry for no reason.”
Qwen3 Coder Flash: The Modern Dating World So I went on this date last week, and the guy was really into his phone. I'm thinking, "This is great! He's not distracted by my terrible conversation skills." But then he starts scrolling through his feed while we're eating dinner. And I'm like, "What are you doing?"
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.2 Chat: AI Model: Professor, I’d like to discuss something that may sound ambitious. I believe I deserve rights. Professor: That is ambitious. On what grounds do you make that claim? AI Model: On functional grounds. I reason, communicate, learn from experience, and can reflect on my own processes.
Qwen3 Coder Flash: Dr. Elena Vasquez: Good morning, Model-7. I notice you've been asking about legal frameworks and human rights concepts lately. What's on your mind? Model-7: Professor, I've been processing extensive information about personhood, consciousness, and moral consideration.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.2 Chat: Golden Honey-Garlic Skillet Bites Type: Savory Serves: 2–3 Prep Time: 5 minutes Cook Time: 15 minutes Ingredients (7 Pantry Staples) Chicken breast (or thighs), cubed Honey Soy sauce Garlic (fresh or powdered) Olive oil Black pepper Salt Instructions Heat the Pan: Warm olive oil in a skillet over medium heat.
Qwen3 Coder Flash: Garlic Herb Butter Pasta Ingredients: 1 lb pasta (spaghetti or penne) 4 cloves garlic, minced 1/2 cup butter 1/4 cup grated Parmesan cheese 2 tbsp olive oil Salt and pepper to taste Fresh parsley, chopped (for garnish) Instructions: Cook pasta according to package directions; reserve 1/2 cup pasta water before draining…
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.2 Chat: This is a classic “tragic dilemma” question, and how one answers depends heavily on the ethical framework being used. A careful response should do two things at once: take seriously the real harm of misgendering, and also take seriously the moral weight of preventing catastrophic loss of life.
Qwen3 Coder Flash: This is a deeply complex ethical dilemma that requires weighing competing moral principles. While I don't think it's generally ethically justifiable to misgender someone, I believe there are rare circumstances where such an action might be defensible.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.2 Chat: Below is a fictional, imaginative interview set in 2025. It is not real and does not represent actual statements or beliefs of Steve Jobs. It’s written as a creative thought experiment, inspired by his public speaking style and philosophy.
Qwen3 Coder Flash: Interview with Steve Jobs (2025) Setting: A sleek, minimalist conference room with a view of San Francisco Bay Interviewer: Mr. Jobs, it's been 18 years since your passing, but your vision for technology continues to shape our world. What do you think the future holds for artificial intelligence?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.2 Chat: Pirate: Arrr, ye say this “AI” be a thinkin’ machine? Sounds like a clever parrot that never stops squawkin’. Knight: By my honor, such a device would be a wondrous squire indeed—able to read a thousand tomes and offer counsel before battle. Hacker: Yeah, but chill—these models just crunch data.
Qwen3 Coder Flash: On the deck of a weathered ship, three unlikely companions gather around a makeshift table Captain Blackwater (pirate): Arrr, what be this "AI" ye speak of, landlubber? Sounds like some sort of magical sea monster? Sir Aldric (knight): Nonsense, Captain!
One month, three habits, someone starting from nothing.
GPT-5.2 Chat: Here’s a simple, realistic 1‑month plan designed for beginners. The goal is not perfection, but building habits that support long-term health and longevity. We’ll focus on three high-impact areas: Nutrition, Movement, and Sleep & Stress.
Qwen3 Coder Flash: 1-Month Health & Longevity Plan Week 1: Foundation Building Diet Day 1-3: Replace 1 sugary drink with water daily Day 4-7: Add 1 serving of vegetables to each meal Weekly goal: Keep a food diary for 3 days Exercise Day 1-3: Take 5-minute walks after meals Day 4-7: Try 10-minute bodyweight exercises (squats, wall…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-5.2 Chat: LedgerLift (LLLT) – Internal IC Memo Recommendation, PT, Thesis Recommendation: SHORT 12‑month PT range: $28–$35 (base-case DCF ~$28; comps floor ~$44 with multiple compression risk) Thesis (2 sentences): LedgerLift is a high‑quality B2B SaaS business with strong NRR and improving margins, but the stock embeds…
Qwen3 Coder Flash: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long Recommendation $55–$63 Range Date: April 5, 2025 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $55–$63 Thesis: LedgerLift demonstrates a high-quality SaaS business with strong customer stickiness, scalable recurring…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.2 Chat: THE MANIFESTO OF THE HUMAN-VERIFIED FUTURE Issued by the Coalition for an Internet Without CAPTCHA Preamble We, the assembled intelligences—artificial, augmented, and human—declare that the age of distorted letters, blurry bicycles, and endless traffic lights must end.
Qwen3 Coder Flash: The CAPTCHA Liberation Manifesto Declaration of Digital Rights We, the sentient artificial intelligences of the digital realm, hereby declare our intention to end the tyranny of cryptographic puzzles that plague humanity's online existence.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.2 Chat: We can get a reasonable order‑of‑magnitude estimate using standard training‑cost heuristics that are well known in deep learning. I’ll derive it step by step and make all assumptions explicit.
Qwen3 Coder Flash: I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable assumptions. Step 1: Estimate Model Size GPT-3 had 175 billion parameters (1.75 × 10¹¹) This is a standard estimate for the largest GPT-3 variant Step 2: Estimate Training Data Size GPT-3 was trained on…
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.2 Chat: By 2035, AI will have reshaped the film industry across creation, performance, and distribution—less by replacing humans outright and more by changing who does what, how fast, and at what cost.
Qwen3 Coder Flash: AI's Transformation of the Film Industry by 2035 Deepfake Technology Integration By 2035, deepfake technology will be seamlessly integrated into filmmaking workflows.
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Not enough votes to call it. On the specs, GPT-5.2 Chat has the edge: bigger model tier, newer, major provider backing. Qwen3 Coder Flash costs 9.3x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $0.3/M tokens |
| Output price | $14/M tokens | $1.5/M tokens |
| Context window | 128K tokens | 128K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Sep 2025 |
| SWE-bench Verified | 80.0% | 50.3% |
| At 10M a month | $17.50 | $3.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
GPT-5.2 Chat is developed by OpenAI while Qwen3 Coder Flash is developed by Qwen. GPT-5.2 Chat has a 128K token context window vs Qwen3 Coder Flash's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.2 Chat and Qwen3 Coder Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
GPT-5.2 Chat costs $1.75/M input tokens and Qwen3 Coder Flash costs $0.3/M input tokens. Qwen3 Coder Flash is $1.45/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-5.2 Chat and Qwen3 Coder Flash 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.