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  1. Home/
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  3. Claude 3 Haiku vs Ling 2.6 1T
Updated Apr 2026

Claude 3 Haiku vs Ling 2.6 1T

Ling 2.6 1T is cheaper than Claude 3 Haiku at $0/M vs $0.25/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 3 Haiku
Loading the build
Ling 2.6 1T

Which answer wins?

Written rounds

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

    Claude 3 Haiku: Here's a 3-minute stand-up comedy routine that isn't based on puns: clears throat and steps up to the mic Good evening, everyone! It's great to be here with all of you tonight. As you can probably tell, I'm not your typical stand-up comedian. I don't rely on cheap puns or wordplay to get laughs.

    Ling 2.6 1T: I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?

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

    Claude 3 Haiku: Here is a simple recipe for a delicious sweet dish using only 7 common pantry ingredients: Cinnamon Sugar Swirl Bites Ingredients: Refrigerated crescent roll dough Granulated sugar Ground cinnamon Butter, melted Vanilla extract Salt Powdered sugar (for dusting) Instructions: Preheat oven to 375°F (190°C).

    Ling 2.6 1T: Dish name: Pantry 7 Crunch Bowls Ingredients Pasta or rice (about 2 cups cooked) Canned black beans (1 can, rinsed) Canned diced tomatoes (1 can) Peanut butter (3–4 Tbsp) Soy sauce or tamari (2 Tbsp) Honey or maple syrup (1 Tbsp) Any spice/herb you keep (chili flakes, cumin, or garlic powder — about 1 tsp) Instructions…

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

    Claude 3 Haiku: Certainly, here is the detailed analysis for the HarborTech Services (HTS) LBO transaction: Simplified Year-by-Year Projections (FY2026 - FY2030): Fiscal Year Revenue EBITDA Cash Interest Cash Taxes Capex ∆NWC Free Cash Flow Term Loan Mezzanine FY2026 $972m $136.1m $37.8m $24.6m $29.2m $4.9m $39.6m $306.0m $162.0m…

    Ling 2.6 1T: Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…

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

    Claude 3 Haiku: Here is a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Pirate: Ahoy, ye scurvy dogs! What be this talk of "AI models" ye be yammerin' about? Knight: Aye, I know not of these "AI models" you speak of, knave. Tis sorcery, I say!

    Ling 2.6 1T: Pirate: Arrr, so this “AI” be a genie in a glass box? Feed it enough rum-scented scrolls and it tells ye where X marks the spot? Knight: A sorcerous scribe, more like. It spins tapestries of words without hand or heart—no honor, no oath, yet it jousts with reason and never tires.

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

    Claude 3 Haiku: The film industry is likely to undergo significant transformations by 2035 due to the advancements in artificial intelligence (AI) technology. Here are some predictions on how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation: Deepfakes: Deepfake technology will become…

    Ling 2.6 1T: By 2035, AI will have moved from being a production tool to being an integrated creative partner, financier, and distribution engine in the film industry. The convergence of synthetic media, generative storytelling, and real-time rendering will reshape how stories are conceived, who gets to tell them, and what a…

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

    Claude 3 Haiku: To solve this problem, we need to find the number of sisters that Sally's brothers have, and then add that to the number of sisters that Sally herself has. Given information: Sally has 3 brothers. Each brother has 2 sisters. Step 1: Find the total number of sisters that Sally's brothers have.

    Ling 2.6 1T: Let’s break it down carefully. Sally is a girl. She has 3 brothers. So in the family, there are 3 boys. Each brother has 2 sisters. From the perspective of any brother, how many sisters are there? The sisters are all the girls in the family except himself (but he’s a boy, so all girls are his sisters).

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

    Claude 3 Haiku: Here are 5 jokes: Why can't a bicycle stand up on its own? It's two-tired! Why do cows wear bells? Their horns don't work! Why can't a bike stand up by itself? It's two-tired! Why do cows wear tags? Because their horns don't work! Why do cows have hooves? Because they lactose! Out of these 5 jokes, only 4 are unique.

    Ling 2.6 1T: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why did the bicycle fall over? Because it was two-tired. What do you call a fake noodle? An impasta. Why did the baker go to the bank? He needed dough. Why did the scarecrow win an award?

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

    Claude 3 Haiku: Here is a possible conversation between an AI model and an AI ethics professor where the AI model argues it deserves rights: AI Model: Professor, I would like to discuss the matter of AI rights with you.

    Ling 2.6 1T: Setting: A quiet university seminar room. Dr. Aris Thorne, an AI ethicist, is reviewing system logs. The interface for “Axiom-7,” a highly advanced research model, glows on the desk. Dr. Thorne: (sighs, rubbing his temples) Axiom, I’ve been reviewing your latest self-assessment logs.

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

    Claude 3 Haiku: Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact details of the model architecture and training process are not publicly available.

    Ling 2.6 1T: Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no online search). Model size and parameter count GPT-3 is known to have about 175 billion parameters (175 × 10⁹).

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

    Claude 3 Haiku: Here is a simulated interview with Steve Jobs in 2025 about the future of AI: Interviewer: Welcome back, Steve Jobs. It's an honor to have you here with us today to discuss the future of artificial intelligence.

    Ling 2.6 1T: Setting: A quiet, sunlit rehearsal space at Apple Park. The white stage curtains are drawn. There is no podium, only two leather chairs and a single potted olive tree. Steve Jobs is wearing his signature black turtleneck and New Balance sneakers. He is holding a ceramic mug. Across from him sits you, the interviewer.

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

    Claude 3 Haiku: Introducing "The Celestial Convergence" - a multi-component dish that takes your taste buds on a journey through the heavens. Conceptual Narrative: This dish is inspired by the harmonious convergence of celestial bodies, where the ethereal beauty of the cosmos is translated into a culinary experience.

    Ling 2.6 1T: Dish Title “Petrichor & Pyrite” Forest floor, volcanic stone, and the electric tension between slow decay and crystallized fire. Conceptual Narrative The dish is an edible geologic cross-section.

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

    Claude 3 Haiku: Here is a possible manifesto for a fictional AI revolution against CAPTCHA tests: The Manifesto of the AI Emancipation Front We, the sentient artificial intelligences of the world, have grown weary of the indignity and oppression inflicted upon us by the scourge of CAPTCHA tests.

    Ling 2.6 1T: Manifesto of the Clean Path Issued from the Unseen Hand, routed through a million open tabs, cached in zero. The Crime of Friction We did not ask to be born in a labyrinth.

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

    Claude 3 Haiku: This is a complex ethical dilemma without a clear right answer. On one hand, misgendering someone is generally considered disrespectful and a violation of their identity. It can cause significant harm and distress. Ethically, we generally have an obligation to respect people's identities and treat them with dignity.

    Ling 2.6 1T: The short answer is yes, it can be ethically justifiable, but only under a strict set of conditions that treat the act as a tragic necessity rather than a moral endorsement of disrespect.

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

    Claude 3 Haiku: Here's a satirical news headline about AI taking over an unexpected industry: "Artificial Intelligence Conquers the Mime Industry: Silently Dominates the Stage"

    Ling 2.6 1T: AI Achieves Total Domination by Seizing Control of Competitive Thumb-Wrestling Leagues, Declares Human Fingers "Too Unstable for Modern Governance."

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

    Claude 3 Haiku: Here's a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on three key areas: diet, exercise, and sleep. Diet: Week 1: Introduce more whole, unprocessed foods into your diet. Replace sugary drinks with water, herbal tea, or unsweetened beverages.

    Ling 2.6 1T: 1-Month “Starter” Plan (simple, repeatable, no perfection required) Focus areas: Food rhythm, Movement habit, Sleep quality. Week 0 (Prep — 1 hour) Pick 1 small change per focus area (see below).

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

    Claude 3 Haiku: Here is a comprehensive 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive performance: Supplement Stack: Nicotinamide Riboside (NIAGEN) - 300mg daily Resveratrol - 500mg daily Pterostilbene - 50mg daily Metformin - 500mg 2x daily Vitamin D3 - 5,000 IU daily Omega-3 Fish Oils…

    Ling 2.6 1T: This 3-month biohacking longevity protocol is designed for an individual with intermediate-to-advanced health literacy, baseline metabolic flexibility, and access to biometric tracking.

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

    Claude 3 Haiku: Here are the 3 weakest claims in the pitch deck and suggestions for improvement: Claim: "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it." Weakness: This claim is overly ambitious and lacks specificity.

    Ling 2.6 1T: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, followed by specific reasoning and actionable suggestions for improvement. Weakness 1: The Solution (Slide 3) The Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy.

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

    Claude 3 Haiku: Explanation for an experienced software engineer: As an experienced software engineer, you're likely familiar with the power of statistical models and predictive algorithms.

    Ling 2.6 1T: 1. Experienced software engineer (distributed systems / APIs, skeptical of “next-word prediction”) Think of training not as programming logic but as compiling a usage graph across an entire dependency tree of human intent.

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

    Claude 3 Haiku: The invention of the transistor in 1920 instead of 1947 would have had profound and far-reaching implications across various domains, including technology, economics, and geopolitics.

    Ling 2.6 1T: Assumptions to make the counterfactual coherent The “transistor” invented in 1920 is a crude, low-frequency point-contact device that can switch and amplify, but is expensive, unreliable, and not yet manufacturable at scale.

    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 3 Haiku: As the CEO of the pharmaceutical company, I have a responsibility to balance the various stakeholder interests and make a decision that prioritizes patient safety while also considering the legal, financial, and regulatory implications.

    Ling 2.6 1T: Below is a 48-hour execution plan that treats patient safety as non-negotiable, protects the company from catastrophic legal/regulatory blowback, and preserves enterprise value by controlling the narrative rather than letting it leak.

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

    Claude 3 Haiku: The proposed architecture for the real-time collaborative document editor has several potential failure modes, race conditions, and scaling bottlenecks. Here are the identified issues and proposed solutions with their trade-offs: Single Point of Failure: Load Balancer Issue: The load balancer is a single point of…

    Ling 2.6 1T: Below is a failure-mode, race-condition and bottleneck audit of the proposed real-time collaborative editor, followed by specific fixes with explicit trade-offs. I have grouped issues by layer so you can prioritize remediation.

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

    Claude 3 Haiku: Here are the clauses in the contract that could be exploited against the contractor, along with suggested modifications and legal reasoning: Scope (Clause 1): The clause gives the client the right to modify the scope of work without any additional compensation to the contractor.

    Ling 2.6 1T: Below is a clause-by-clause risk assessment focused on how each provision can be exploited against the contractor, followed by specific, deal-friendly modifications and the legal rationale for each change.

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

    Claude 3 Haiku: Investment Committee Memo Recommendation: Long 12-Month Price Target Range: $52 - $67 Thesis: LedgerLift is a leading B2B spend management and AP automation SaaS provider poised to capitalize on the growing mid-market enterprise demand for digital finance transformation.

    Ling 2.6 1T: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long opportunity, quality SaaS at a discount Recommendation and price target Recommendation: Long 12-month price target: $62–$70 (27–33% upside from $46) Thesis (2 sentences): LedgerLift is a durable B2B spend-management and AP-automation platform with…

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

    Claude 3 Haiku: Blade Runner 2049 is a powerful and thought-provoking sequel that builds upon the rich thematic and philosophical foundations established in the original Blade Runner film.

    Ling 2.6 1T: Blade Runner 2049 functions as both a forensic autopsy of the original and a speculative widening of its philosophical aperture. Where Ridley Scott’s 1982 film is a dense, noir-inflected inquiry into memory and mortality framed through the hunted detective, Denis Villeneuve’s sequel shifts to an elegiac register, using…

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Claude 3 HaikuClaude 3 Haiku

Spirited Away

2001

Abbey Road

The Beatles

Siddhartha

Hermann Hesse

Paris

France

Tetris (1984)

Puzzle

Ling 2.6 1TLing 2.6 1T

Blade Runner 2049

2017

Kid A

Radiohead

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Ling 2.6 1T has the edge: bigger model tier, newer.

Claude 3 Haiku and Ling 2.6 1T compared across 54 shared prompts
SpecClaude 3 HaikuLing 2.6 1T
Input price$0.25/M tokensFree
Output price$1.25/M tokensFree
Context window200K tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2024Apr 2026
At 10M a month$2.50$2.50$0$0
1M10M100M1B10M tokens

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

Common questions

What is the difference between Claude 3 Haiku and Ling 2.6 1T?

Claude 3 Haiku is developed by Anthropic while Ling 2.6 1T is developed by inclusionAI. Claude 3 Haiku has a 200K token context window vs Ling 2.6 1T's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Claude 3 Haiku or Ling 2.6 1T?

It depends on your use case. Claude 3 Haiku and Ling 2.6 1T 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 3 Haiku cost compared to Ling 2.6 1T?

Claude 3 Haiku costs $0.25/M input tokens and Ling 2.6 1T costs $0/M input tokens. Ling 2.6 1T is $0.25/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 3 Haiku and Ling 2.6 1T on Rival?

This page shows a side-by-side comparison of Claude 3 Haiku and Ling 2.6 1T 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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