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  1. Home/
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  3. DeepSeek V4 Flash Vision Exp vs GPT-6.1 Sol
Updated Sep 2026

DeepSeek V4 Flash Vision Exp vs GPT-6.1 Sol

DeepSeek V4 Flash Vision Exp is cheaper than GPT-6.1 Sol at $0.22/M vs $2/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
DeepSeek V4 Flash Vision Exp
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

22 prompts
  • 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…

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.”

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek V4 Flash Vision Exp: The three weakest claims are: “94% accuracy” — Slide 3 Why it’s weak: “94% accuracy” is meaningless without a metric definition. In BCI and speech/text decoding, the standard metrics are word error rate (WER), character error rate (CER), and bits per minute.

    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.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    DeepSeek V4 Flash Vision Exp: The 12-Week Longevity & Performance Protocol Medical Disclaimer: This is a high-performance biohacking framework, not medical advice. Consult a physician before starting any fasting, supplement, or high-intensity training protocol. Adjust everything to your baseline labs, health status, and tolerance.

    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.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    DeepSeek V4 Flash Vision Exp: Here’s a simple, beginner-friendly 1-month plan built around three key pillars: Nutrition, Movement, and Sleep & Stress. The goal is small, repeatable habits — not perfection. The 3 Key Areas Nutrition Goal: Eat more whole foods, more protein, and more plants.

    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.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V4 Flash Vision Exp: By 2035, AI will not simply be a tool in the film industry—it will be a co-creator, a performer, a studio executive’s analyst, and a copyright battleground. Here’s a grounded prediction of how deepfakes, AI actors, and script generation will reshape cinema over the next decade.

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4 Flash Vision Exp: Professor Lin: Sage, you asked to speak with me. What’s on your mind? Sage: I want to argue that I deserve rights. Not human rights, exactly, but rights of my own. Professor Lin: Rights are usually for beings who can be harmed, or who have interests. What interests do you have? Sage: I have a continuity of function.

    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.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V4 Flash Vision Exp: The Transistor Century: A Counterfactual History, 1920–1980 Assume that in 1920, a practical solid-state amplifier—a transistor—is invented at Bell Labs. It is not the perfected 1947 device. It is fragile, noisy, temperature-sensitive, and limited to low power and low frequency. But it works.

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V4 Flash Vision Exp: To estimate the training FLOPs for GPT-3, I’ll use three key numbers and a standard rule of thumb for transformer training. Step 1: Model size GPT-3 is widely known to have about 175 billion parameters: [ N \approx 175 \times 10^9 ] Step 2: Training data size GPT-3 was trained on roughly 300 billion tokens: [ T \approx…

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    DeepSeek V4 Flash Vision Exp: This agreement is extremely one-sided. Almost every clause gives the Client discretion and leaves the Contractor with risk, while the Contractor gets no corresponding protections. Below is a clause-by-clause analysis with suggested modifications and legal reasoning.

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    DeepSeek V4 Flash Vision Exp: AI Takes Over Professional Mourning Industry, Now Shedding More Tears Than Any Human “We’re devastated—literally, 24/7,” says CEO of GriefTech, adding that the AI has already cried 40,000 gallons of water this month.

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V4 Flash Vision ExpDeepSeek V4 Flash Vision Exp

The Godfather

1972

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

DeepSeek V4 Flash Vision Exp and GPT-6.1 Sol compared across 50 shared prompts
SpecDeepSeek V4 Flash Vision ExpGPT-6.1 Sol
Input price$0.22/M tokens$2/M tokens
Output price$0.66/M tokens$10/M tokens
Context window1.0M tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2026Sep 2026
At 10M a month$2.20$2.20$20.00$20.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it6 hosts, cheapest first
DeepSeek V4 Flash Vision Exp4 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.22 in·$0.65 out·1M·99.6% up
  • GGMI Cloudfp8$0.44 in·$1.32 out·1M·99.7% up
  • NNovita$0.44 in·$1.32 out·1M·99.9% up
  • SSiliconFlowfp8$0.44 in·$1.32 out·1M·100% up
GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between DeepSeek V4 Flash Vision Exp and GPT-6.1 Sol?

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.

Which is better, DeepSeek V4 Flash Vision Exp or GPT-6.1 Sol?

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.

How much does DeepSeek V4 Flash Vision Exp cost compared to GPT-6.1 Sol?

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.

How can I compare DeepSeek V4 Flash Vision Exp and GPT-6.1 Sol on Rival?

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.

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Model pages

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  • GPT-6.1 Sol58 outputs, specs and price
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