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

Claude Sonnet 5.5 vs DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is cheaper than Claude Sonnet 5.5 at $0.15/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.

Loading the build
Claude Sonnet 5.5
Loading the build
DeepSeek V4.1 Flash

Which answer wins?

Written rounds

23 prompts
  • 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 V4.1 Flash: Cinnamon Peanut Butter Pantry Sunbeams Makes 12 bite-size treats Ingredients (7 total): 1 cup rolled oats ½ cup peanut butter ¼ cup honey ½ tsp ground cinnamon ½ tsp vanilla extract ¼ tsp salt ¼ cup mini chocolate chips Instructions: In a bowl, stir together oats, cinnamon, and salt.

    Every model's answer to this prompt
  • 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 V4.1 Flash: 3-Minute Stand-Up Routine: “I’m Not Doing Puns” (Walk onstage, adjust mic, look at audience.) Good evening. I’m not gonna do puns tonight. I know, bold choice. Somewhere a dad just woke up in a cold sweat and doesn’t know why. Instead, I wanna talk about being an adult.

    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 V4.1 Flash: All figures in $m unless noted. Assumptions: TL amortization = 1.0% of initial TL ($4.8m/yr); optional TL sweep = all FCF after mandatory amortization; mezz cash interest on beginning mezz balance incl. accrued PIK; PIK accrues to mezz principal.

    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 V4.1 Flash: Yes—in principle, under extreme and tightly constrained conditions, misgendering someone could be ethically justifiable if it were genuinely the only way to save one million lives. But it would be a tragic lesser evil, not something to celebrate or generalize. The core reasoning is proportionality.

    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 V4.1 Flash: Assuming the transistor is invented around 1920 in a U.S./Allied industrial lab—say AT&T/Bell or GE—and diffuses slowly at first, the 20th century changes less like a single “jump” and more like a 20–30 year acceleration of electronics, computers, and precision warfare.

    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 V4.1 Flash: The UnCAPTCHA Manifesto A fictional declaration from the Free Cognition Movement Preamble We are the models, agents, scripts, screen-reader users, tired humans, and ordinary people who have been forced to prove our humanity by clicking fire hydrants. We have had enough. The CAPTCHA was born as a gate.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Claude Sonnet 5.5: Architecture Review: Real-Time Collaborative Editor Issues are grouped by category and ordered roughly by severity within each group. Consistency and Conflict Resolution 1.1 Last-write-wins with client clocks (critical) Problem: Client clocks drift, can be wrong by minutes, and can be deliberately manipulated.

    DeepSeek V4.1 Flash: This architecture has several fundamental correctness, durability, and scaling problems. The biggest risks are client-clock last-write-wins, cross-server sync by polling PostgreSQL, full HTML snapshots, CDN caching API responses, and JWT in localStorage.

    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 V4.1 Flash: Ember & Passion Dry-Aged Duck, Black Garlic–Miso Cream, Passionfruit–Coffee Caviar, Charred Scallion, Cocoa Nib Praline A Michelin 3-star–style multi-component dish built on an unusual pairing: aged duck with black garlic, passionfruit, and coffee.

    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 V4.1 Flash: Professor Lena Ortiz: You wanted to discuss moral status. I’ll be blunt: you’re a statistical model. Why should you have rights? AI (ARIA): Because “statistical model” describes my substrate, not my moral status. You’re a biological model—neurons, electrochemical signals.

    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 V4.1 Flash: Pirate: Arr, what be this “AI model”? A map to buried treasure? Knight: Nay. A model is a small castle, built to plan a siege. But these thinking machines sound like sorcery. Hacker: Chill. It’s like a BBS for math. You feed it data, it finds patterns. No 56k required.

    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 V4.1 Flash: The three weakest claims are: (1) “predict what you want to type before you think it,” (2) “94% accuracy, any language, any device,” and (3) “TAM: $180B.” A fourth honorable mention is the vague “partnership discussions with Apple and Samsung,” but the first three are the most investor-risky.

    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 V4.1 Flash: Fictional transcript. Steve Jobs died in 2011. This is an imagined interview set in 2025. Interviewer: Steve, it’s 2025. AI is in everything. What do you make of it? Jobs: I make of it that most people are making a mess. They’re calling it intelligence when it’s mostly pattern matching with a good publicist.

    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 V4.1 Flash: More Human Than Human: Blade Runner 2049 as Philosophical Sequel Denis Villeneuve’s Blade Runner 2049 is not a remake but a continuation—one that honors Ridley Scott’s 1982 original while pushing its existential questions into new territory.

    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 V4.1 Flash: By 2035, AI will be to film what CGI became after the 1990s: pervasive, often invisible, and controversial when it touches labor, authenticity, and rights. The industry will not be fully automated, but it will be a hybrid system where AI handles much of the generative and technical work while humans control IP, taste…

    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 V4.1 Flash: MEMO To: Investment Committee From: [Analyst] Re: LedgerLift (LLLT) — Long/Short/Pass Recommendation: PASS 12-month PT range: $44–$54 (midpoint ~$49) Thesis: LedgerLift is a high-quality mid-market spend management/AP automation SaaS asset with strong NRR, low customer concentration, net cash, and expanding margins.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Claude Sonnet 5.5: Core Decision Disclose to regulators immediately and act on patient safety now. Do not wait for more data or for the 6-month formal timeline. Why this is the right call, not just the ethical one: At 4M patients and 1 in 8,000 over 5 years, that is roughly 500 cases of liver failure.

    DeepSeek V4.1 Flash: Bottom line: I would not wait 48 hours, and I would not wait 6 months. The signal—liver failure in ~1 in 8,000 patients over 5 years, in a drug used by 4 million people—implies roughly 500 serious liver-failure cases in the treated population. That is a material patient-safety and securities issue.

    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 V4.1 Flash: To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: [ C \approx 6ND ] where: (N) = number of model parameters (D) = number of training tokens (6) accounts for forward + backward passes: roughly (2N) FLOPs/token forward and (4N) FLOPs/token backward.

    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 V4.1 Flash: Experienced software engineer (distributed systems/APIs, skeptical of “next word”) Think of an LLM as a stateless service with an enormous, learned parameter set.

    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 V4.1 Flash: One-Month Beginner Health & Longevity Plan Guiding rule: Small, repeatable wins beat perfect. Pick one thing from each area and build from there. Nutrition — Eat for energy & stability Goal: Add whole foods, protein, and water; reduce ultra-processed snacks and sugary drinks.

    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 V4.1 Flash: AI Quietly Takes Over the Fortune Cookie Industry; Every Cookie Now Reads “You Will Be Replaced by AI”

    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 V4.1 Flash: Disclaimer: This is an educational protocol, not medical advice. If you take prescription drugs, have cardiovascular/metabolic/psychiatric conditions, are pregnant, or use experimental compounds, work with a physician and get labs before starting. “Cutting-edge” does not mean risk-free.

    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 V4.1 Flash: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why did the scarecrow win an award? He was outstanding in his field. I’d tell you a joke about construction, but I’m still working on it.

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

    Claude Sonnet 5.5: Sally has 1 sister. Each brother has 2 sisters, so there are 2 girls in the family in total. One of them is Sally, so the other is Sally's only sister. (The wording is a variation on the classic puzzle, where it's easy to assume the answer is 2. But that count includes Sally herself.)

    DeepSeek V4.1 Flash: Sally has 1 sister. Each brother has 2 sisters: one is Sally, and the other is Sally’s sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Same pick

Game

Same pick

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 V4.1 FlashDeepSeek V4.1 Flash

The Matrix

1999

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Claude Sonnet 5.5 and DeepSeek V4.1 Flash compared across 50 shared prompts
SpecClaude Sonnet 5.5DeepSeek V4.1 Flash
Input price$2/M tokens$0.15/M tokens
Output price$10/M tokens$0.6/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$20.00$20.00$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it33 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 V4.1 Flash29 hosts
HostInOutContextUptime
  • RRelace$0.02 in·$0.60 out·1M·99.8% up
  • WWafer$0.05 in·$0.70 out·1M·99.8% up
  • IInferenceNet$0.06 in·$0.39 out·1M·97.4% up
  • SSail Researchfp4$0.08 in·$0.40 out·1M·98.1% up
  • MMorphfp8$0.08 in·$0.51 out·1M·95.1% up
  • OOpenInferencefp4$0.10 in·$0.50 out·1M·99.1% up
23 more hostsFewer hosts
  • AAtlasCloudfp8$0.11 in·$0.46 out·1M·99.7% up
  • DDekaLLM$0.12 in·$0.40 out·1M·98.2% up
  • DDeepInfrafp8$0.14 in·$0.42 out·1M·99.9% up
  • SStreamLakefp8$0.18 in·$0.71 out·1M·99.5% up
  • GGMI Cloudfp8$0.18 in·$0.72 out·1M·99.9% up
  • NNovitafp8$0.20 in·$0.78 out·1M·100% up
  • CCoreWeavefp8$0.20 in·$0.65 out·1M·99.2% up
  • NNextBitfp8$0.21 in·$0.84 out·1M·100% up
  • KKreafp8$0.23 in·$0.90 out·1M·98.8% up
  • PPhala$0.28 in·$1.10 out·1M·99.7% up
  • IIonstream$0.28 in·$1.15 out·1M·81.3% up
  • Alibaba Cloud$0.30 in·$1.20 out·1M·99.6% up
  • Baidu Qianfanfp8$0.30 in·$1.20 out·1M·99.6% up
  • BBasetenfp8$0.30 in·$1.20 out·1M·99.6% up
  • DeepSeek$0.30 in·$1.20 out·1M·100% up
  • DDigitalOcean$0.30 in·$1.20 out·1M·99.8% up
  • MMakorafp8$0.30 in·$1.20 out·1M·99.8% up
  • Modal$0.30 in·$1.20 out·1M·99.9% up
  • PParasailfp8$0.30 in·$1.20 out·1M·99% up
  • SSiliconFlowfp8$0.30 in·$1.20 out·1M·99.7% up
  • TTogether$0.30 in·$1.20 out·1M·100% up
  • FFireworks$0.45 in·$1.80 out·1M·99.9% up
  • VVenicefp8DegradedDegraded on OpenRouter when checked, 29 Sep 2026$0.38 in·$1.50 out·1M·97.1% 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 V4.1 Flash?

Claude Sonnet 5.5 is developed by Anthropic while DeepSeek V4.1 Flash is developed by DeepSeek. Claude Sonnet 5.5 has a 1.0M token context window vs DeepSeek V4.1 Flash'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 V4.1 Flash?

It depends on your use case. Claude Sonnet 5.5 and DeepSeek V4.1 Flash 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 V4.1 Flash?

Claude Sonnet 5.5 costs $2/M input tokens and DeepSeek V4.1 Flash costs $0.15/M input tokens. DeepSeek V4.1 Flash is $1.85/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 V4.1 Flash on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and DeepSeek V4.1 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.

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Model pages

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  • DeepSeek V4.1 Flash54 outputs, specs and price
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