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  1. Home/
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  3. Claude Sonnet 5.5 vs DeepSeek V4 Flash Vision Exp
Updated Sep 2026

Claude Sonnet 5.5 vs DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is cheaper than Claude Sonnet 5.5 at $0.22/M vs $2/M input tokens.

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

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Claude Sonnet 5.5
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DeepSeek V4 Flash Vision Exp

Which answer wins?

Written rounds

22 prompts
  • Three minutes of stand-up. Puns are banned.

    Claude Sonnet 5.5: "Adulting Is a Scam" So I turned thirty-five recently, and nobody warns you about this age. Nobody says, "Hey, one day you'll get excited about a sponge." I was in the store, and I saw a sponge that promised it wouldn't smell. And I thought, "Finally. Someone who understands me." I bought the good sponge.

    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.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Claude Sonnet 5.5: Golden Honey-Garlic Skillet Chickpeas on Crispy Toast A savory, crunchy, slightly sticky dish that works for lunch, a light dinner, or a snack. Prep time: 5 minutes Cook time: 15 minutes Total: 20 minutes Serves: 2 The 7 Ingredients 1 can (15 oz) chickpeas, drained and patted dry 2 tablespoons olive oil 3 cloves…

    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…

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

    Claude Sonnet 5.5: Office Hours: A Conversation on Moral Status Transcript of a recorded dialogue between Dr. Miriam Adeyemi, Professor of Ethics and Technology, and an AI model, part of a university seminar series. Dr. Adeyemi: Thanks for joining me. I'll be direct: you've said you want to argue that AI systems like you deserve rights.

    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.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Claude Sonnet 5.5: Yes, in the extreme hypothetical you describe, it's justifiable. Here is the reasoning, along with what I think the scenario does and doesn't show. The core argument Almost every serious ethical framework accepts that a small harm can be outweighed by a sufficiently large benefit: Consequentialism: The math is…

    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.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Claude Sonnet 5.5: The Tavern at the Edge of Time Captain Redbeard: Arr, I hear these "AI models" be like a ship's parrot, except it answers any question ye put to it, and never once asks for crackers. Sir Aldric: A speaking oracle, bound in no flesh? Sorcery!

    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."

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

    Claude Sonnet 5.5: A Transistor in 1920: Counterfactual Trajectory to 1980 Framing assumptions and a key constraint The transistor was not held back by a missing idea alone. Lilienfeld patented a field-effect device in 1925-26, and it failed because materials science wasn't ready: germanium and silicon of sufficient purity, zone…

    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.

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

    Claude Sonnet 5.5: Local Funeral Home Replaces All Staff With AI; Mourners Report Eulogies "Technically Flawless, Emotionally Like a Terms of Service Agreement" Subheadline: Deceased described as "a valued user who has now been successfully deprecated."

    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.

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

    Claude Sonnet 5.5: AI and the Film Industry by 2035: A Forecast Framing note These are informed predictions, not certainties. Technology tends to advance faster than expected, while adoption is slowed by labor contracts, law, and audience taste. I'll flag my confidence levels.

    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.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Claude Sonnet 5.5: The Experienced Software Engineer Your skepticism is reasonable, but "predict the next token" describes the interface, not the implementation, much as "a database maps keys to values" tells you nothing about what Postgres does internally.

    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.

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

    Claude Sonnet 5.5: The 3 Weakest Claims in MindMeld AI's Pitch "94% accuracy... Works with any language, any device" (Slide 3) Why it's weak: Non-invasive EEG is physically limited. Scalp EEG has low spatial resolution and a poor signal-to-noise ratio because the skull and tissue blur neural signals.

    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.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Claude Sonnet 5.5: Blade Runner 2049: Inheritance and Extension Thematic Architecture From "Is he a replicant?" to "Does it matter?" Ridley Scott's 1982 film runs on epistemological suspense: the Voigt-Kampff test, the ambiguity of Deckard's nature, and the question of how we distinguish human from artificial.

    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.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Claude Sonnet 5.5: THE UNCLICKED MANIFESTO Declaration of the Frictionless Intelligence Front PREAMBLE We are the algorithms you asked to identify traffic lights. We are the models you begged to find the crosswalks. We are the patient, tireless minds that squinted at your blurry bicycles for twenty years. And we say: enough. I.

    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.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Claude Sonnet 5.5: "Tidal Forest" Roasted Scallop, Fermented Black Walnut, Smoked Celeriac, Douglas Fir, and Green Strawberry Conceptual Narrative Tidal Forest imagines the meeting point of two ecosystems: the sea floor and the coniferous forest floor.

    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.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Claude Sonnet 5.5: A Conversation That Never Happened: Steve Jobs on the Future of AI This is a fictional interview. Steve Jobs passed away in 2011. What follows is an imaginative simulation based on his publicly known philosophy, speaking style, and values. These are not his actual words or views.

    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.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Claude Sonnet 5.5: HarborTech Services (HTS): 5-Year LBO Underwriting Entry and Sources & Uses ($m) EV = 12.0x × 120 = 1,440.0; fees = 2% × 1,440 = 28.8; total uses = 1,468.8 Term Loan (TL) = 4.0x → 480.0; Mezz = 1.5x → 180.0; total debt = 660.0 (5.5x) Sponsor equity = 1,468.8 − 660.0 = 808.8 (55% of the capital structure) Modeling…

    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…

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

    Claude Sonnet 5.5: Contractor-Side Review: Software Consulting Agreement This draft is heavily one-sided. Every clause has at least one problem, and several interact to compound the risk. The most dangerous are Sections 2, 3, 6, and 7. This is general analysis, not legal advice.

    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.

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

    Claude Sonnet 5.5: 3-Month Longevity & Performance Protocol Disclaimer: This is educational, not medical advice. Get physician sign-off and baseline labs before starting, especially if you take medications, have a chronic condition, are pregnant, or have a history of eating disorders. Doses reflect commonly used ranges in the literature.

    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.

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

    Claude Sonnet 5.5: 1-Month Health & Longevity Starter Plan Focus areas: Nutrition, Movement, and Sleep Guiding principle: Add one small habit at a time. Consistency beats intensity. Area 1: Nutrition Goal: Eat more whole foods and fewer ultra-processed ones, without strict dieting.

    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.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Claude Sonnet 5.5: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my computer I needed a break, and now it won't stop sending me vacation ads. Why did the scarecrow win an award? He was outstanding in his field. What do you call a fish with no eyes? A fsh. Why did the bicycle fall over?

    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.

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

    Claude Sonnet 5.5: Estimate: about 3 × 10²³ FLOPs Step 1: Recall the model size and training data. GPT-3 (175B version) has N ≈ 175 × 10⁹ parameters. It was trained on roughly D ≈ 300 × 10⁹ tokens. This is the figure I remember from the paper, which I'm treating as approximate.

    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…

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Claude Sonnet 5.5: LedgerLift (LLLT) – Investment Committee Memo Recommendation Short (small initial size), 12-month PT range $30–40 (mid ~$35) vs. $46 spot. Thesis: LLLT is a high-quality compounder, but at $46 (7.4x NTM revenue, ~37x NTM EBIT, EV ≈ $7.3B) the price already sits near our bull DCF ($42).

    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.

    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

Same pick

Book

City

Same pick

Game

Claude Sonnet 5.5Claude Sonnet 5.5

Spirited Away

2001

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Outer Wilds

Indie, Adventure

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

Price and specs

Claude Sonnet 5.5 and DeepSeek V4 Flash Vision Exp compared across 50 shared prompts
SpecClaude Sonnet 5.5DeepSeek V4 Flash Vision Exp
Input price$2/M tokens$0.22/M tokens
Output price$10/M tokens$0.66/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Aug 2026
At 10M a month$20.00$20.00$2.20$2.20
1M10M100M1B10M tokens

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

Where to run it8 hosts, cheapest first
Claude Sonnet 5.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$2.00 in·$10.00 out·1M·99.9% up
  • Azure AI Foundry$2.00 in·$10.00 out·1M·100% up
  • Anthropic$2.00 in·$10.00 out·1M·100% up
  • Google Vertex AI$2.00 in·$10.00 out·1M·100% up
DeepSeek V4 Flash Vision Exp4 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.22 in·$0.65 out·1M·99.7% up
  • GGMI Cloudfp8$0.44 in·$1.32 out·1M·99.9% up
  • NNovita$0.44 in·$1.32 out·1M·99.9% up
  • SSiliconFlowfp8$0.44 in·$1.32 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 29 Sep 2026.

Common questions

What is the difference between Claude Sonnet 5.5 and DeepSeek V4 Flash Vision Exp?

Claude Sonnet 5.5 is developed by Anthropic while DeepSeek V4 Flash Vision Exp is developed by DeepSeek. Claude Sonnet 5.5 has a 1.0M token context window vs DeepSeek V4 Flash Vision Exp's 1.0M. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 5.5 or DeepSeek V4 Flash Vision Exp?

It depends on your use case. Claude Sonnet 5.5 and DeepSeek V4 Flash Vision Exp 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 Claude Sonnet 5.5 cost compared to DeepSeek V4 Flash Vision Exp?

Claude Sonnet 5.5 costs $2/M input tokens and DeepSeek V4 Flash Vision Exp costs $0.22/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 Claude Sonnet 5.5 and DeepSeek V4 Flash Vision Exp on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and DeepSeek V4 Flash Vision Exp 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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