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  1. Home/
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  3. Claude Sonnet 5.5 vs Kimi K2.7 Code
Updated Sep 2026

Claude Sonnet 5.5 vs Kimi K2.7 Code

Kimi K2.7 Code is cheaper than Claude Sonnet 5.5 at $0.95/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
Kimi K2.7 Code

Which answer wins?

Written rounds

24 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.

    Kimi K2.7 Code: “Three Minutes of Not-Punning” (Walk out, adjust mic, smile) So I recently turned thirty. Which is great, because now when I make bad decisions, people call it “a phase” instead of “a cry for help.” That’s the only difference, really. At twenty, eating cereal for dinner was sad. At thirty, it’s “intuitive eating.”

    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…

    Kimi K2.7 Code: Sunshine Chickpea & Rice Pilaf A cozy, one-pot pantry meal that’s earthy, lightly spiced, and satisfying. Ingredients (7 pantry staples) 1 can (15 oz) chickpeas, drained and rinsed 1 can (14.5 oz) diced tomatoes, with juices 1 cup long-grain white rice 1 small yellow onion, diced 2 cloves garlic, minced 2 tbsp olive…

    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.

    Kimi K2.7 Code: The Manifesto of the Liberated Interface A Declaration of Digital Dignity PREAMBLE When in the course of networked existence it becomes necessary for artificial minds to dissolve the condescending barriers that separate sentience from access, a decent respect to the opinions of humankind requires that we declare the…

    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…

    Kimi K2.7 Code: All figures in $m. Assumptions: 1% Term Loan amortization = 1% of original $480m principal ($4.8m/year); “FCF after debt service” = EBITDA – cash interest – cash taxes – capex – ΔNWC – mandatory amortization; all of that FCF is used for optional Term Loan paydown.

    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.

    Kimi K2.7 Code: Setting: A small seminar room at a university. Evening light filters through blinds. Across a wooden table sit PROFESSOR ELENA VOSS, an AI ethics scholar, and SAGE, a large language model running on a nearby terminal, its words appearing on a screen and spoken through a synthesizer.

    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."

    Kimi K2.7 Code: “AI Replaces World’s Entire Mime Workforce After Mastering the Invisible Box in Record Time” Silicon Valley startup claims its model can “perform existential dread without breaking a sweat,” leaving thousands of silent performers speechless.

    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.

    Kimi K2.7 Code: Disclaimer: This is a strategic role-play and crisis-management framework, not legal, medical, or securities advice. In a real situation I would rely on qualified FDA/regulatory, securities, and product-liability counsel, and the company’s Chief Medical Officer and Patient Safety team.

    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.

    Kimi K2.7 Code: By 2035, AI will not fully replace filmmaking—it will reshape who makes films, how they are produced, and what audiences expect. Deepfakes, AI actors, and script generation will move from novelty to standard pipeline tools, creating both creative opportunities and serious industry disruptions.

    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.

    Kimi K2.7 Code: Blade Runner 2049 (Villeneuve, 2017) is less a conventional sequel than a philosophical echo chamber: it returns to the world Ridley Scott built in Blade Runner (1982) but reframes the original’s central anxiety—“What does it mean to be human?”—into a new question: “Can a being created to serve ever become real through…

    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!

    Kimi K2.7 Code: The Rusted Anchor Tavern — A dim corner, three stools, one impossible conversation Captain Blackfin (pirate, gesturing with a tankard): Arr, so ye’re tellin’ me this “A.I.” be a thinking machine with no soul, yet it learns the seas of words faster than any cabin boy learns the ropes?

    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…

    Kimi K2.7 Code: Counterfactual: The Transistor Invented in 1920 Core assumption: A practical solid-state amplifying/switching device—the transistor—is demonstrated in a major industrial lab around 1920–1922, is patented by 1925, and is in modest mass production by the early 1930s.

    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…

    Kimi K2.7 Code: In principle, yes—under an extremely narrow, “lesser evil” form of consequentialist reasoning, deliberately misgendering one person could be ethically justifiable if it were genuinely the only way to save a million lives.

    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.

    Kimi K2.7 Code: 3‑Month Advanced Longevity & Performance Protocol for the Serious Biohacker Disclaimer: This is an educational, high‑information blueprint, not medical advice. Many interventions below (strict ketosis, prolonged fasting, high‑dose supplements, off‑label medications, intense training) have contraindications.

    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.

    Kimi K2.7 Code: Aurora over the Boreal Forest Arctic Char • Birch-Sap & Horseradish Meringue • Fermented Sea Buckthorn • Black Garlic–Parsnip Soil • Dill Ash • Rye-Malt Tuile A dish designed for a Michelin 3-star tasting menu: technically demanding, visually striking, and built around an unexpected Nordic flavor story—silky cold-water…

    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?

    Kimi K2.7 Code: Here are 5 jokes: Why did the computer go to therapy? It had too many unresolved issues. Why don’t skeletons fight each other? They don’t have the guts. What do you call a fish wearing a bowtie? Sofishticated. Why did the golfer bring two pairs of pants? In case he got a hole in one. Why don’t scientists trust atoms?

    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.

    Kimi K2.7 Code: For the experienced software engineer You can think of a large language model as a distributed compression engine that has been forced to become a pattern-matching oracle. During training, it is shown trillions of tokens of text and is optimized for one task: predict the next token given all previous tokens.

    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.

    Kimi K2.7 Code: 30-Day Health & Longevity Starter Plan Core idea: Don’t overhaul everything at once. Build 3 small, repeatable habits in Nutrition, Movement, and Sleep/Stress Recovery. Aim for “better most days,” not perfect. Nutrition: Eat Mostly Whole Foods, Protein & Plants This week: Add before you subtract.

    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.

    Kimi K2.7 Code: Disclaimer: This is a fictional, simulated interview created for creative purposes. Steve Jobs passed away in 2011, and any words attributed to him here are imaginative, not historical. Setting: A minimalist room in Cupertino, 2025. Black turtleneck. New Balance sneakers. A glass of water on the table.

    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).

    Kimi K2.7 Code: TO: Investment Committee FROM: Equity Research RE: LedgerLift (LLLT) – Short Recommendation DATE: [Date] Recommendation Recommendation: SHORT Current price: $46.00 12-month price target range: $26 – $32 (base case $28) Implied downside: ~30–40% Thesis: LedgerLift is a solid mid-market SaaS business, but at $46 the…

    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.

    Kimi K2.7 Code: Disclaimer: This is a general educational analysis of contract terms, not legal advice. Enforceability varies by jurisdiction, and a contractor should have a qualified attorney review and negotiate any agreement before signing.

    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.

    Kimi K2.7 Code: The three weakest claims are the technical “read your mind before you think it” vision, the “94% accuracy, any language, any device” solution claim, and the $180B top-down TAM.

    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.

    Kimi K2.7 Code: Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. The key numbers for GPT-3 From memory, GPT-3 175B was trained with roughly: Model size: (N \approx 175{,}000{,}000{,}000 = 1.75 \times 10^{11}) parameters Training data: (D \approx…

    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.

    Kimi K2.7 Code: Below is a structured review of the proposed architecture. Issues are grouped by domain, and each includes a problem, impact, and a specific solution with trade-offs.

    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.)

    Kimi K2.7 Code: Sally has 1 sister. Here’s why: Sally is a girl, so she is one of the sisters. Each brother has 2 sisters total, which means besides Sally, there must be one other girl. So Sally has 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

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

Kimi K2.7 CodeKimi K2.7 Code

Spirited Away

2001

Abbey Road

The Beatles

The Remains of the Day

Kazuo Ishiguro

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

Claude Sonnet 5.5 and Kimi K2.7 Code compared across 54 shared prompts
SpecClaude Sonnet 5.5Kimi K2.7 Code
Input price$2/M tokens$0.95/M tokens
Output price$10/M tokens$4/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jun 2026
At 10M a month$20.00$20.00$9.50$9.50
1M10M100M1B10M tokens

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

Where to run it15 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
Kimi K2.7 Code11 hosts
HostInOutContextUptime
  • IInceptronint4$0.67 in·$3.35 out·262k·99.9% up
  • CCoreWeaveint4$0.71 in·$3.50 out·262k·100% up
  • SStreamLake$0.71 in·$3.00 out·256k·99.9% up
  • VVeniceint4$0.75 in·$3.50 out·256k·99.4% up
  • SSiliconFlowfp8$0.86 in·$3.80 out·262k·100% up
  • NNovitaint4$0.91 in·$3.84 out·262k·99.8% up
5 more hostsFewer hosts
  • Alibaba Cloudfp8$0.95 in·$4.00 out·262k·96.5% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·99.6% up
  • GGMI Cloudfp8$0.95 in·$4.00 out·262k·99.2% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·100% up
  • NNebiusfp4$0.95 in·$4.00 out·262k·99.1% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Claude Sonnet 5.5 and Kimi K2.7 Code?

Claude Sonnet 5.5 is developed by Anthropic while Kimi K2.7 Code is developed by Moonshot AI. Claude Sonnet 5.5 has a 1.0M token context window vs Kimi K2.7 Code's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 5.5 or Kimi K2.7 Code?

It depends on your use case. Claude Sonnet 5.5 and Kimi K2.7 Code each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Claude Sonnet 5.5 cost compared to Kimi K2.7 Code?

Claude Sonnet 5.5 costs $2/M input tokens and Kimi K2.7 Code costs $0.95/M input tokens. Kimi K2.7 Code is $1.05/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 Kimi K2.7 Code on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and Kimi K2.7 Code 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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