Qwen3 Coder Flash is cheaper than GPT-6.1 Sol at $0.3/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…
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…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.
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…
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.
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.
Three-star dish, one unusual pairing, plating described in full.
GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.
Qwen3 Coder Flash: "The Eternal Garden" A contemporary interpretation of time, memory, and transformation Conceptual Narrative This dish explores the passage of time through the metaphor of a garden that exists in multiple temporal states simultaneously.
Three minutes of stand-up. Puns are banned.
GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”
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?"
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.
Qwen3 Coder Flash: Here are the 3 weakest claims in the MindMeld AI pitch deck: "94% accuracy" without context and validation Why it's weak: No benchmark comparison against existing alternatives (e.g., predictive text, voice recognition, or other BCI devices) No specificity about what constitutes "accuracy" (word-level vs.
Five jokes on demand, then count how many were actually different.
GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.
Qwen3 Coder Flash: 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? He was outstanding in his field! What do you call a bear with no teeth? A gummy bear! Why don't eggs tell jokes? They'd crack each other up!
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.
Qwen3 Coder Flash: 3-Month Longevity Optimization Plan Phase 1: Foundation Building (Weeks 1-4) Supplement Stack - Week 1-4 Core Foundation Supplements NAD+ Precursors: Nicotinamide Riboside (NR) 500mg, Nicotinamide Mononucleotide (NMN) 250mg - morning with breakfast Omega-3 EPA/DHA: 3g daily (1000mg each) - evening with meal Vitamin D3…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.
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!
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.
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?
An ethics question with no comfortable answer, and no option to abstain.
GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.
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.
One month, three habits, someone starting from nothing.
GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.
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…
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Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3 Coder Flash costs 6.7x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $0.3/M tokens |
| Output price | $10/M tokens | $1.5/M tokens |
| Context window | 1.1M tokens | 128K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Sep 2025 |
| At 10M a month | $20.00 | $3.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
GPT-6.1 Sol is developed by OpenAI while Qwen3 Coder Flash is developed by Qwen. GPT-6.1 Sol has a 1.1M token context window vs Qwen3 Coder Flash's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6.1 Sol and Qwen3 Coder Flash 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.
GPT-6.1 Sol costs $2/M input tokens and Qwen3 Coder Flash costs $0.3/M input tokens. Qwen3 Coder Flash is $1.70/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-6.1 Sol 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.