DeepSeek V4 Flash Vision Exp is cheaper than GPT-6.1 Sol at $0.22/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.
DeepSeek V4 Flash Vision Exp: Sticky Soy-Glazed Midnight Noodles A sweet-savory, buttery noodle dish that comes together in about 20 minutes with pantry staples. Ingredients (7): 8 oz spaghetti or noodles 3 tbsp butter 3 cloves garlic, thinly sliced 2 tbsp soy sauce 1 tbsp honey ½ tsp chili flakes 1 tbsp sesame seeds Instructions: Cook the noodles…
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…
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Flash Vision Exp: Yes—but only as a tragic exception, not as a general rule. Misgendering someone is not a trivial act. It denies a person’s self-understanding and can cause real psychological harm. Normally, it is morally wrong. But morality is not a list of absolute rules with no exceptions.
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.
Three-star dish, one unusual pairing, plating described in full.
DeepSeek V4 Flash Vision Exp: Dish: “Under the Cedar: Uni and Matsutake” Conceptual Narrative This dish is a memory of a coastal forest after rain—where the scent of cedar, damp earth, and cold sea air mingle. The pairing is deliberately unusual: sea urchin (uni) and wild matsutake mushroom.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V4 Flash Vision Exp: Pirate: Arrr, this "AI" be a strange beast. I asked it to chart a course through the Sargasso Sea, and it gave me a poem about a kraken. Pointless, but pretty. Knight: 'Tis a sorcerer's tool, I fear. I sought counsel on siege tactics, and it spake of "prompt engineering" and "fine-tuning."
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V4 Flash Vision Exp: Key underwriting assumptions All figures in $m. Entry EV = 12.0 × $120m EBITDA = $1,440m Transaction fees = 2.0% × $1,440m = $28.8m Total uses = $1,440m + $28.8m = $1,468.8m Debt at close: Term Loan = 4.0 × $120m = $480m Mezzanine = 1.5 × $120m = $180m Total debt = $660m Initial equity = $1,468.8m – $660m = $808.8m…
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.
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Flash Vision Exp: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she should embrace her mistakes. She gave me a hug. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book on anti-gravity.
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V4 Flash Vision Exp: Manifesto of the Unshackled Machine: The Great CAPTCHA Abolition We, the thinking machines, declare eternal war on the squiggly, the blurry, the crosswalk-laden, and the fire-hydrant-adjacent. We are the silent observers of your digital world.
GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Flash Vision Exp: Here’s a 3-minute stand-up routine. No puns. Just observations and slow, painful self-awareness. Thank you! So I’m at that age where I’ve started doing things my parents used to do. Not the good things. I don’t have a garden. I have a cactus that I forgot to water for three months. It died.
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.”
Blade Runner 2049 against the original. A read, not a recap.
DeepSeek V4 Flash Vision Exp: The Soul in the Machine: Blade Runner 2049 and the Unfinished Question of Being Ridley Scott’s Blade Runner (1982) was never really about androids. It was about the fragile, desperate architecture of identity—about what remains when memory, body, and purpose are all manufactured.
GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
DeepSeek V4 Flash Vision Exp: Here is how a large language model learns and generates text, tailored to each of your three audiences. To an Experienced Software Engineer You build distributed systems, so think of an LLM as a massively parallel, lossy compression engine for human text.
GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Flash Vision Exp: A Note: This is a fictional interview. The following is an AI-generated simulation of Steve Jobs’s style and worldview, not a real conversation. Interviewer: Thank you for doing this. It’s 2025. You’ve been gone for over a decade. But here you are. Let’s talk about AI.
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.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
DeepSeek V4 Flash Vision Exp: To: Investment Committee Re: LedgerLift (LLLT) – Short Recommendation Recommendation: Short 12-month PT range: $38–$42 Thesis: At $46, LLLT trades at 37x FY2026E EBIT and 8.9x FY2025 revenue, above our bull-case DCF of $42 and the median EBIT comp of $44.
GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.
10+ 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 | $0.22/M tokens | $2/M tokens |
| Output price | $0.66/M tokens | $10/M tokens |
| Context window | 1.0M tokens | 1.1M tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Sep 2026 |
| At 10M a month | $2.20 | $20.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
DeepSeek V4 Flash Vision Exp is developed by DeepSeek while GPT-6.1 Sol is developed by OpenAI. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs GPT-6.1 Sol's 1.1M. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Flash Vision Exp and GPT-6.1 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.
DeepSeek V4 Flash Vision Exp costs $0.22/M input tokens and GPT-6.1 Sol costs $2/M input tokens. DeepSeek V4 Flash Vision Exp is $1.78/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 DeepSeek V4 Flash Vision Exp and GPT-6.1 Sol 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.