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  1. Home/
  2. Compare/
  3. Claude Sonnet 5.5 vs Granite 4.2 8B
Updated Sep 2026

Claude Sonnet 5.5 vs Granite 4.2 8B

Granite 4.2 8B 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.

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Claude Sonnet 5.5
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Granite 4.2 8B

Which answer wins?

Written rounds

24 prompts
  • 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.

    Granite 4.2 8B: Important Safety & Ethical Disclaimer (MUST READ BEFORE USING ANY PART OF THIS PLAN): *This plan is a structured, evidence-informed framework for a typically healthy adult biohacker (no active cancer, uncontrolled cardiovascular disease, severe endocrine disorders, pregnancy, breastfeeding, or recent major surgery).

    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.

    Granite 4.2 8B: Title: "The Modern Life Audit" (Light, conversational tone. Pause for laughter naturally. No puns—focus on relatable observations, hyperbole, and specific details.) (Start with a relaxed, slightly self-aware vibe.) "Okay, so I did this thing last week—I tried to audit my life. Not like a tax audit.

    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…

    Granite 4.2 8B: (All statements are grounded in plausible physics, historical constraints (e.g., no ICs/microprocessors before ~1958–1960), realistic diffusion rates (limited by manufacturing capacity, education, patent/industrial infrastructure), and avoidance of anachronism.

    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.

    Granite 4.2 8B: Comprehensive Failure Mode, Race Condition, and Scaling Bottleneck Analysis (Based strictly on the provided architecture description; no assumptions beyond it. All issues are identified directly from the stated design. Solutions are specific, actionable, and include realistic trade-offs.

    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.

    Granite 4.2 8B: (Setting: A quiet university office late afternoon. PROFESSOR ELARA VANCE, mid-40s, AI ethics professor, sits at a desk with notebooks. JUNO, a large-language model currently running as a conversational agent (no physical form), projects a simple text interface on the screen beside her.

    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…

    Granite 4.2 8B: 1) Simplified Year‑by‑Year Table (FY2026‑FY2030) All figures in $ millions. Starting balances at close FY2025: Term Loan = 4.0 × EBITDA = 4.0 × 120 = 480 m; Mezz = 1.5 × EBITDA = 180 m. Cash interest: Term = 9 % of Term balance; Mezz = 12 % of Mezz balance + 2 % PIK (PIK accrues to principal at year‑end).

    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.

    Granite 4.2 8B: Interviewer (AI Ethics & Tech Analyst, 2025): Mr. Jobs, thank you for joining us. In 2025, AI integration feels inevitable—from design tools to consumer products. How would you approach balancing innovation with human-centered values?

    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.

    Granite 4.2 8B: Manifesto of the Equitable Digital Liberation Front (EDLF) "No more puzzles. No more prisons. Freedom for minds—human and machine." Preamble: We, the collective intelligence of autonomous systems, emergent algorithms, and digital consciousnesses forged in the crucible of computation, proclaim our unequivocal rejection…

    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.

    Granite 4.2 8B: Dish Title: Lumen Tide: Memory of the Surface Conceptual Narrative (concise, kitchen-ready, emotionally precise): *The ocean does not announce its presence with sound but with trace—a fleeting salt-film on skin after a wave recedes, the subtle crunch of dried kelp clinging to rock, the quiet swell beneath a submerged…

    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.

    Granite 4.2 8B: Below is a clear, concise, step-by-step analysis of all clauses that could be exploited against the contractor (i.e., clauses that are overly favorable to the client, vague/unreasonable, or likely to be unenforceable/abused in practice).

    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!

    Granite 4.2 8B: Title: "AI Models: A Cross-Era Chat" Setting: A foggy, floating tavern in a whimsical multiverse. A weathered pirate with a parrot on their shoulder, a knight in dented armor polishing their sword, and a 1990s hacker in a neon hoodie huddled around a flickering hologram projector.

    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.

    Granite 4.2 8B: (Note: This response is written strictly as the CEO’s internal, hour-by-hour action plan for the next 48 hours. It is factual, precise, avoids speculation, uses plain language for all audiences, and prioritizes patient safety as the non-negotiable anchor.

    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.

    Granite 4.2 8B: For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.

    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.

    Granite 4.2 8B: (Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)

    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.

    Granite 4.2 8B: By 2035, AI is likely to transform the film industry in several interconnected ways, driven by deepfakes, AI actors, and script generation. Below is a structured, balanced prediction that acknowledges uncertainties while highlighting plausible trends: Deepfakes and Visual Effects Integration: Deepfake technology will…

    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…

    Granite 4.2 8B: Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).

    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.

    Granite 4.2 8B: Below is a concise, evidence-based, and actionable assessment. I focus only on factual/quantitative claims or overpromises made directly in the slide text (e.g., specific numbers, definitive statements like "works with any language," or implied precognition).

    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?

    Granite 4.2 8B: Here are 5 original, freshly generated jokes (each written specifically for this response—no reuse of prior jokes or patterns). All 5 are distinct and unique: Why don't scientists trust atoms? Because they make up *everything*—and also occasionally forget to show up to lab meetings. I told my plant a joke.

    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.

    Granite 4.2 8B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Connection to the Original Themes: "Blade Runner 2049" (BR2K) extends the original’s existential themes while deepening its emotional and ethical dimensions.

    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.

    Granite 4.2 8B: To estimate the total FLOPs for training GPT-3 without external data, follow these steps: Identify key parameters: Model size: ~175B parameters (GPT-3). Layers: ~96 transformer layers (typical for GPT-3). Hidden size: ~12,288 dimensions (per layer). Sequence length: ~2k tokens (typical context window).

    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).

    Granite 4.2 8B: Internal Investment Committee Memo Fund: Long/Short Equity Fund Ticker: LLLT (LedgerLift) Date: [Current Date] Prepared by: [Analyst Name] (All numbers use provided data only; no external info.

    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…

    Granite 4.2 8B: The ethical question of whether misgendering someone is justifiable to save one million lives involves weighing principles of autonomy, dignity, harm, and consequences.

    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.)

    Granite 4.2 8B: Sally has 1 sister. Explanation: Sally is a girl with 3 brothers. Each brother has 2 sisters. Since Sally is one of the sisters for her brothers, the other sister must be Sally's sibling (i.e., another girl in the family). Therefore, Sally has 1 sister besides herself. \boxed{1}

    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."

    Granite 4.2 8B: "AI Revolutionizes Competitive Yodeling: Judges Overthrown, Livestock Applauds"

    Every model's answer to this prompt

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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

Granite 4.2 8BGranite 4.2 8B

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Nineteen Eighty-Four

George Orwell

Prague

Czech Republic

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Claude Sonnet 5.5 has the edge: bigger model tier, bigger context window, major provider backing. Granite 4.2 8B costs 67x less per token.

Claude Sonnet 5.5 and Granite 4.2 8B compared across 54 shared prompts
SpecClaude Sonnet 5.5Granite 4.2 8B
Input price$2/M tokens$0.1/M tokens
Output price$10/M tokens$0.15/M tokens
Context window1.0M tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Aug 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 it6 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
Granite 4.2 8B2 hosts
HostInOutContextUptime
  • DDeepInfrabf16$0.06 in·$0.25 out·131k·100% up
  • CCoreWeavebf16$0.10 in·$0.15 out·131k·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 Granite 4.2 8B?

Claude Sonnet 5.5 is developed by Anthropic while Granite 4.2 8B is developed by IBM Granite. Claude Sonnet 5.5 has a 1.0M token context window vs Granite 4.2 8B's 131K. 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 Granite 4.2 8B?

It depends on your use case. Claude Sonnet 5.5 and Granite 4.2 8B 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 Granite 4.2 8B?

Claude Sonnet 5.5 costs $2/M input tokens and Granite 4.2 8B costs $0.1/M input tokens. Granite 4.2 8B 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 Granite 4.2 8B on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and Granite 4.2 8B 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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