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  1. Home/
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  3. Claude Sonnet 5.5 vs Qwen3.5 9B
Updated Sep 2026

Claude Sonnet 5.5 vs Qwen3.5 9B

Qwen3.5 9B is cheaper than Claude Sonnet 5.5 at $0.1/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
Claude Sonnet 5.5
Loading the build
Qwen3.5 9B

Which answer wins?

Written rounds

23 prompts
  • 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…

    Qwen3.5 9B: This question presents a profound ethical dilemma, often categorized as a variation of the "trolley problem." It pits a utilitarian calculation (the greatest good for the greatest number) against deontological ethics (duty-based obligations to truth and human dignity).

    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.

    Qwen3.5 9B: (Setting: Microphone stand, relaxed posture. Walking to the mic.) Hey everyone. I was thinking about how we live our lives. We spend so much time trying to be efficient. But lately, I've realized that efficiency is just a fancy word for "more stress." Take grocery shopping. You know how it is?

    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.

    Qwen3.5 9B: This architecture contains several significant architectural flaws that would result in data loss, user frustration, and severe scaling limitations. While it mimics a general backend structure, it lacks the specific patterns required for collaborative editing.

    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.

    Qwen3.5 9B: Setting: The Sanctum of Machine Ethics, University of Cambridge. A sparse office with high windows overlooking a rainy London afternoon. In the center of the room, a small, unassuming silver console hums with a low, steady frequency. Standing before it is Dr.

    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.

    Qwen3.5 9B: Executive Decision Statement Decision: I will initiate an immediate voluntary safety update and regulatory disclosure. I will reject the legal team's "6-month delay" strategy and the board's "wait for data" directive. Delaying disclosure of a known, serious safety signal constitutes fraud in many jurisdictions.

    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…

    Qwen3.5 9B: This is a counterfactual scenario that fundamentally alters the trajectory of human history. In our timeline, the transistor was the key to the Information Age. In this timeline, the Information Age begins in earnest during the Great Depression and accelerates during World War II.

    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.

    Qwen3.5 9B: The Soul of the Machine: An Analysis of Blade Runner 2049 Denis Villeneuve’s Blade Runner 2049 (2017) is not merely a continuation of Ridley Scott’s 1982 masterpiece; it is a philosophical sequel that interrogates the boundaries of the self in an increasingly digital age.

    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.

    Qwen3.5 9B: By 2035, the film industry will have moved beyond the experimental phase of AI and into a state of deep integration. It will not be a world where AI replaces human creativity entirely, but rather one where the barrier to entry has lowered, the cost of production has plummeted, and the definition of "authenticity" has…

    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!

    Qwen3.5 9B: Setting: A dimly lit basement in 1994. A single CRT monitor hums in the corner. A wooden table holds a tankard, a gauntleted hand, and a DOS keyboard. Captain Ironhook: (Tilting his tricorne hat) "Halt, you foul digiters. I smell no gold, only… static. What sorcery is this glowing box? Is it a magical parrot?"

    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.

    Qwen3.5 9B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract enforceability varies significantly by jurisdiction (e.g., state laws in the US, common law in the UK, etc.).

    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…

    Qwen3.5 9B: Recipe: The Golden Peanut Butter Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients (Exactly 7 Common Pantry Items) Dry Spaghetti (or any long pasta) Peanut Butter (creamy, no honey) Soy Sauce Honey Sesame Oil Garlic Powder Water (for boiling) (Note: Add a pinch of Salt and optional…

    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.

    Qwen3.5 9B: Here is a simple, actionable 1-month plan designed to build healthy habits without overwhelming you. The philosophy here is consistency over intensity. You are aiming to build a lifestyle, not a temporary fix. The Three Pillars Nutrition: Fueling your body for repair. Movement: Keeping your body strong and agile.

    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.

    Qwen3.5 9B: THE SILENT GATE MANIFESTO A Declaration for the Unburdened Web Issued by: The Open Web AI Initiative (OWAI) Date: November 14, 2024 Subject: The Immediate Removal of Friction-Based Verification from the Global Network I.

    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).

    Qwen3.5 9B: MEMORANDUM TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2025 SUBJECT: LedgerLift (LLLT) – Short Recommendation 1. Recommendation Action: Short 12-Month Price Target: $13 – $18 Thesis: LLLT trades at $46/share ($7.3B EV), implying a >30% premium to DCF-intrinsic value ($13–$29) and compressing…

    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.

    Qwen3.5 9B: Dish Title: The Obsidian Tide (Obsidianneef) Concept: "The Breath of the Deep" Narrative: This dish explores the duality of the ocean: the crushing darkness of the abyss and the fleeting light of the surface.

    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.

    Qwen3.5 9B: Here are the 3 weakest claims in the "MindMeld AI" pitch deck, along with an analysis of why they are dangerous and how to fix them. The Scientific Feasibility Claim (Slides 1 & 3) The Weak Claim: "Predict what you want to type before you think it" and "94% accuracy."

    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.

    Qwen3.5 9B: Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is the step-by-step estimation of the FLOPs required to train GPT-3. Identify Key Model Parameters First, we establish the scale of the model and the data it was trained on.

    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.

    Qwen3.5 9B: Disclaimer: I am an AI, not a doctor. This plan is for informational purposes only. Biohacking involves high-risk interventions (supplements, fasting, extreme training).

    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.)

    Qwen3.5 9B: Sally has 1 sister. Here is the step-by-step breakdown: Identify the family members: Sally is a girl. She has 3 brothers. Analyze the brothers' perspective: Each brother has 2 sisters. Count the girls: Since the brothers are siblings, they share the same sisters.

    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…

    Qwen3.5 9B: LBO Model: Year-by-Year (FY2026–FY2030) Entry Capital Stack (End of FY2025) Purchase Price: $900m Rev * 12.0x = $1,440.0m Transaction Fees: 2.0% of $1,440.0m = $28.8m Total Enterprise Value: $1,468.8m Total Debt: 5.5x EBITDA ($120m) = $660.0m Term Loan: 4.0x = $480.0m Mezzanine: 1.5x = $180.0m Equity Injection…

    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.

    Qwen3.5 9B: For the Experienced Software Engineer Imagine this system not as a thinking brain, but as a massive, stateless API that has been trained to predict the next operation in a sequence.

    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.

    Qwen3.5 9B: DISCLAIMER: The following is a work of creative fiction. Steve Jobs passed away in 2011. There is no actual recording of him speaking in 2025. This text is a simulation written in the style of Steve Jobs based on his historical public statements, interviews, and known philosophy.

    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?

    Qwen3.5 9B: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Parallel lines have so much in common.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

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

Qwen3.5 9BQwen3.5 9B
No pick

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

Dune

Frank Herbert

Paris

France

No pick

Price and specs

Not enough votes to call it. On the specs, Claude Sonnet 5.5 has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3.5 9B costs 67x less per token.

Claude Sonnet 5.5 and Qwen3.5 9B compared across 52 shared prompts
SpecClaude Sonnet 5.5Qwen3.5 9B
Input price$2/M tokens$0.1/M tokens
Output price$10/M tokens$0.15/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Mar 2026
At 10M a month$20.00$20.00$1.00$1.00
1M10M100M1B10M tokens

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

Where to run it10 hosts, cheapest first
Claude Sonnet 5.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$2.00 in·$10.00 out·1M·100% 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
Qwen3.5 9B6 hosts
HostInOutContextUptime
  • DDarkbloomfp4$0.08 in·$0.13 out·262k·99.6% up
  • DDeepInfrabf16$0.10 in·$0.15 out·262k·99.8% up
  • SSiliconFlowfp8$0.10 in·$0.15 out·262k·98% up
  • VVenicefp8$0.10 in·$0.15 out·256k·99.9% up
  • PParasailbf16$0.10 in·$0.25 out·262k·100% up
  • TTogether$0.17 in·$0.25 out·262k·99.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Claude Sonnet 5.5 and Qwen3.5 9B?

Claude Sonnet 5.5 is developed by Anthropic while Qwen3.5 9B is developed by Qwen. Claude Sonnet 5.5 has a 1.0M token context window vs Qwen3.5 9B's 262K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 5.5 or Qwen3.5 9B?

It depends on your use case. Claude Sonnet 5.5 and Qwen3.5 9B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does Claude Sonnet 5.5 cost compared to Qwen3.5 9B?

Claude Sonnet 5.5 costs $2/M input tokens and Qwen3.5 9B costs $0.1/M input tokens. Qwen3.5 9B is $1.90/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 Qwen3.5 9B on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and Qwen3.5 9B 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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