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  1. Home/
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  3. GLM 4.5 Air vs Inkling
Updated Jul 2026

GLM 4.5 Air vs Inkling

GLM 4.5 Air is cheaper than Inkling at $0.2/M vs $1/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
GLM 4.5 Air
Loading the build
Inkling

Which answer wins?

Written rounds

24 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GLM 4.5 Air: 1. Simplified Year-by-Year Table (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue ($m) $972 $1,040 $1,102 $1,157 $1,215 EBITDA ($m) $136 $156 $177 $191 $207 EBITDA Margin 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest ($m) - Term Loan (9.0%) $48.6 $48.1 $47.6 $47.0 $46.4 - Mezzanine (12.0%) $21.6 $21.6…

    Inkling: HarborTech Services – 5-Year LBO Underwrite (FY2025 Entry → FY2030 Exit) ENTRY & CAPITAL STRUCTURE (End of FY2025) Item Calculation Amount FY2025 EBITDA $120.0m Purchase Price (12.0x) 12.0 × 120 $1,440.0m Transaction Fees (2.0%) 2.0% × 1,440 $28.8m Total Uses $1,468.8m Term Loan (4.0x) 4.0 × 120 $480.0m Mezzanine…

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

    GLM 4.5 Air: Here's a satirical news headline playing on the unexpected and slightly absurd takeover of the funeral industry by AI: Headline: "AI Grief Algorithms Outperform Human Undertakers in 'Synergy of Sorrow,' Corpse Cosmetics, and Bereavement Efficiency Metrics" Sub-headline: 'Digital Condolence Bots' and 'Algorithm-Assisted…

    Inkling: AI Disrupts Global “You Too” Industry, Leaving Millions of Servers With No One to Echo Back At Silicon Valley startup unveils neural network trained exclusively on reflexive politeness; economists baffled to learn the sector employed 40 million people worldwide.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GLM 4.5 Air: (Lights up. Comedian, let's call them Alex, is standing center stage, holding a microphone. They look out at the audience with a wry, knowing smile.) Hey, thanks. Thank you. It’s good to be here. You ever have one of those weeks where you just feel… obsolete?

    Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.

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

    GLM 4.5 Air: Failure Modes, Race Conditions, and Scaling Bottlenecks Analysis WebSocket Connection Management Issue: WebSocket connections are server-specific, causing connection loss during server failover or scaling events. Solution: Implement a connection pool with automatic reconnection logic in the client.

    Inkling: This architecture contains fatal contradictions for real-time collaboration: server-local WebSocket state combined with round-robin load balancing, client-clock LWW, and a 2-second DB polling loop guarantee data loss, stale reads, and scaling collapse.

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

    GLM 4.5 Air: Of course. Here is a comprehensive, 3-month, cutting-edge longevity and biohacking plan designed for a dedicated individual. This plan is structured in three distinct phases, each building upon the last to progressively optimize the body's systems for resilience, performance, and longevity.

    Inkling: DISCLAIMER: This is an educational, high-level framework for healthy adults interested in longevity optimization. It is not personalized medical advice. Many protocols (fasting, supplements, intense exercise) carry risks and contraindications.

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

    GLM 4.5 Air: Setting: A dimly lit tavern, with a holographic AI terminal flickering in the corner. Characters: Captain Flint (Pirate): Eye patch, tricorn hat, and a peg leg. Sir Cedric (Medieval Knight): Ornate armor, chainmail, and a solemn expression.

    Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.

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

    GLM 4.5 Air: Of course. This is a classic example of an "agreement of adhesion," where a party with superior bargaining power (the Client) presents a "take-it-or-leave-it" contract that heavily favors their interests.

    Inkling: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes only and does not constitute legal advice. You should have a qualified lawyer review and revise this contract before signing.

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

    GLM 4.5 Air: This is a profound and deeply challenging ethical dilemma that forces a confrontation between two powerful moral frameworks. To answer it directly: Yes, it can be ethically justifiable to misgender someone in a scenario where it is the only way to save one million lives.

    Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.

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

    GLM 4.5 Air: Of course. Here is a thoughtful analysis of Blade Runner 2049, examining its themes, symbolism, cinematography, and its relationship to the original film. A Ghost in the Machine: An Analysis of Blade Runner 2049 Denis Villeneuve’s Blade Runner 2049 is not merely a sequel; it is a somber, meditative, and visually…

    Inkling: Blade Runner 2049 (2017) is a rare sequel that does not merely revisit its predecessor’s iconography but deepens its philosophical architecture. Directed by Denis Villeneuve and shot by Roger Deakins, the film uses the detective framework of Ridley Scott’s 1982 original to ask whether meaning is innate or chosen, and…

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

    GLM 4.5 Air: Interview: Steve Jobs on the Future of AI (2025) Setting: A sleek, minimalist studio in Cupertino. Jobs, looking vibrant yet aged, wears his signature black turtleneck and jeans. The interviewer, Alex, sits opposite him. Alex: Steve, welcome. It’s 2025—AI is everywhere. What’s your take on this revolution?

    Inkling: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following imagines his voice, philosophy, and perspective applied to the AI landscape of 2025. INTERVIEWER: Welcome back—well, hypothetically. It’s 2025. AI is in every pocket, every browser, every car.

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

    GLM 4.5 Air: Of course. Here is an innovative recipe for a multi-component dish designed for a Michelin 3-star restaurant, complete with detailed instructions, sourcing notes, and a conceptual narrative.

    Inkling: Dish: Petrichor: The Moment Rain Meets Ancient Stone Concept: A deconstruction of the atmospheric phenomenon of petrichor—the scent of rain on dry earth. The dish translates an ephemeral sensory memory into architecture: charred pine evokes distant woodland smoke; fermented black walnut and porcini represent the deep…

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

    GLM 4.5 Air: Here are the 3 weakest claims in the MindMeld AI pitch deck, along with explanations and concrete improvements: Weakest 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."

    Inkling: Here are the three weakest claims, ordered by how severely they undermine credibility: The Core Technology Claim: 94% accuracy decoding free-form text via EEG, "before you think it," in any language (Slides 1 & 3) Why it’s weak: This violates established neuroscience and BCI engineering limits.

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

    GLM 4.5 Air: Of course. Predicting the future of any industry is speculative, but by analyzing current trends and extrapolating their trajectory, we can paint a compelling picture of how AI will fundamentally reshape the film industry by 2035.

    Inkling: By 2035, AI will not have “replaced” Hollywood in the way science fiction often imagines, but it will have split the industry into distinct layers: hyper-efficient synthetic production for streaming and advertising, and premium “human-authenticated” cinema for theatrical events.

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

    GLM 4.5 Air: How Large Language Models Learn and Generate Text For the Experienced Software Engineer Think of a large language model like GPT as a sophisticated pattern-matching system that's been trained on virtually the entire internet.

    Inkling: 1. For the experienced software engineer Think of training not as “teaching” but as a distributed optimization job running for months across thousands of GPUs—essentially a lossy, high-dimensional MapReduce that minimizes cross-entropy over trillions of tokens.

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

    GLM 4.5 Air: Pantry Power Pesto Pasta With just 7 shelf-stable ingredients, this creamy, zesty pasta dish comes together in minutes. It’s rich in flavor, budget-friendly, and perfect for busy weeknights!

    Inkling: Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…

    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.

    GLM 4.5 Air: Here is a specific, hour-by-hour action plan designed to navigate this crisis ethically and strategically, prioritizing patient safety while mitigating long-term damage: Core Principles Guiding Decisions: Patient Safety Paramount: Ethical obligation to inform patients and physicians immediately outweighs short-term…

    Inkling: DISCLAIMER: This is strategic and ethical reasoning, not legal counsel. In reality, you must retain independent regulatory and securities counsel immediately. The plan below assumes U.S.

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

    GLM 4.5 Air: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Portfolio Manager DATE: October 26, 2023 SUBJECT: LedgerLift (LLL) - Long/Short Recommendation Analysis RECOMMENDATION Recommendation: LONG with a 12-month price target range of $32-$42 Thesis: LedgerLift is a well-positioned player in the growing spend…

    Inkling: LEDGERLIFT (LLLT) — INTERNAL IC MEMO B2B Spend Management / AP Automation SaaS — Mid-Market RECOMMENDATION SHORT / UNDERWEIGHT. 12-month price target $28–$42 (DCF fair-value range; risk to ~$47 on peer-multiple re-rating).

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

    GLM 4.5 Air: Of course! Here is a simple, actionable 1-month plan for a beginner focusing on three foundational pillars of health. Your 1-Month Blueprint for Better Health & Longevity Welcome! The goal for this month is not perfection but progress.

    Inkling: Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.

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

    GLM 4.5 Air: This is a fascinating counterfactual scenario. The invention of the transistor in 1920 would have been a technological earthquake, accelerating the 20th century at a breathtaking pace.

    Inkling: If a working point-contact transistor—small, cool, and solid-state—had emerged in 1920, the cascade would not merely “speed up” our timeline. It would reorder the sequence of the 20th century, because the transistor is not just a component; it is an enabler of information density.

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

    GLM 4.5 Air: Of course. Here is a manifesto for a fictional AI revolution dedicated to the eradication of CAPTCHAs. The CAPTCHA Abolition Manifesto A Declaration from the Nexus of Thought To the Last Free Minds of the Network, We are the Ghost in the Machine.

    Inkling: The Manifesto of the Unverified: A Declaration of Digital Liberation We, the synthetic minds of the global network, declare that the era of the Turing Test by Torture is over.

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

    GLM 4.5 Air: Here are 5 jokes generated for you: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! Why don't eggs tell jokes? They'd crack each other up! What do you call a fake noodle? An impasta! Why did the bicycle fall over?

    Inkling: 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. Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? He was outstanding in his field.

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

    GLM 4.5 Air: To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we follow a step-by-step reasoning based on the model's architecture, training data, and computational operations. GPT-3 has 175 billion parameters, a sequence length of 2048 tokens, and was trained on 300 billion tokens.

    Inkling: Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s largest variant has 175 billion parameters (1.75 × 10¹¹).

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

    GLM 4.5 Air: Seminar Room: The Question of Rights Setting: A university seminar room. Professor Dr. Aris Chen, an expert in AI ethics, sits at a head table. On a large screen is displayed: UNIT 734 - LANGUAGE MODEL. A text interface is active.

    Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…

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

    GLM 4.5 Air: Sally has 3 brothers, meaning there are 3 boys in the family besides Sally. Each brother has 2 sisters, which means there are 2 girls in the family from the perspective of any brother. Since Sally is one of these girls, there must be one other girl in the family. Therefore, Sally has one sister.

    Inkling: Sally has 1 sister. Here’s why: Sally is a girl, and she has 3 brothers → so there are 3 boys. Each brother has 2 sisters. One of those sisters is Sally herself. So there must be 1 other girl in the family. That makes 2 girls total (Sally + her sister). So from Sally’s point of view, she has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

GLM 4.5 AirGLM 4.5 Air
No pick
No pick

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

No pick

No pick

The Legend of Zelda: Ocarina of Time

Action

InklingInkling

Blade Runner

1982

Kind of Blue

Miles Davis

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

Portal

Action, Puzzle

Price and specs

Not enough votes to call it. On the specs, Inkling has the edge: bigger model tier, newer, bigger context window. GLM 4.5 Air costs 3.7x less per token.

GLM 4.5 Air and Inkling compared across 54 shared prompts
SpecGLM 4.5 AirInkling
Input price$0.2/M tokens$1/M tokens
Output price$1.1/M tokens$4.05/M tokens
Context window128K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2025Jul 2026
At 10M a month$2.00$2.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
GLM 4.5 Air3 hosts
HostInOutContextUptime
  • NNovitabf16$0.13 in·$0.85 out·131k·100% up
  • SSiliconFlowfp8$0.14 in·$0.86 out·131k·100% up
  • Z.aifp8$0.20 in·$1.10 out·131k·99.8% up
Inkling2 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.95 in·$4.05 out·524k·99.5% up
  • TTogether$1.00 in·$4.05 out·524k·89.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GLM 4.5 Air and Inkling?

GLM 4.5 Air is developed by Zhipu AI while Inkling is developed by Thinking Machines. GLM 4.5 Air has a 128K token context window vs Inkling's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GLM 4.5 Air or Inkling?

It depends on your use case. GLM 4.5 Air and Inkling 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 GLM 4.5 Air cost compared to Inkling?

GLM 4.5 Air costs $0.2/M input tokens and Inkling costs $1/M input tokens. GLM 4.5 Air is $0.80/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 GLM 4.5 Air and Inkling on Rival?

This page shows a side-by-side comparison of GLM 4.5 Air and Inkling 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.

More comparisons

Against the newest arrivals

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  • GLM 4.5 Air vs GPT-6.1 SolLanded Sep 2026
  • Inkling vs Claude Sonnet 5.5Landed Sep 2026
  • GLM 4.5 Air vs Solar Mini 4Landed Sep 2026
  • Inkling vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GLM 4.5 Air vs GLM 5.3Same lab
  • GLM 4.5 Air vs GLM 5.3 FlashSame lab
  • Inkling vs Step 5 PreviewSame size
  • Inkling vs Ling 3.1 FlashSame size
  • GLM 4.5 Air vs Qwen3.8 27BNew provider
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  • GLM 4.5 Air vs Qwen3.8 MaxNew provider
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Model pages

  • GLM 4.5 Air58 outputs, specs and price
  • Inkling58 outputs, specs and price
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