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  1. Home/
  2. Compare/
  3. GLM 5 vs Kimi K2.7 Code
Updated Jun 2026

GLM 5 vs Kimi K2.7 Code

GLM 5 is cheaper than Kimi K2.7 Code at $0.8/M vs $0.95/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 5
Loading the build
Kimi K2.7 Code

Which answer wins?

Written rounds

23 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GLM 5: Dish Name: Midnight Golden Garlic Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients: Spaghetti (or Linguine) Butter (salted) Garlic (fresh cloves, minced) Soy Sauce Parmesan Cheese (grated) Black Pepper (freshly cracked) Red Chili Flakes (optional for heat) Instructions: Boil the…

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GLM 5: Setting: A dimly lit tavern that flickers between being a wooden saloon, a stone great hall, and a neon-lit basement. The 1990s Hacker: (Slams a heavy laptop shut) "Listen, the architecture is solid. It’s a neural net, right? Massive dataset. It crunches the numbers and predicts the next token. It’s pure math, man.

    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.

    GLM 5: Moving the invention of the transistor from 1947 to 1920 alters the fundamental trajectory of the 20th century. It compresses the electronic age, shifting the "Digital Revolution" from the 1980s to the 1950s. Here is a trace of the implications through 1980. I.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    GLM 5: By 2035, the film industry will have undergone a transformation comparable to the transition from silent films to talkies, or from practical effects to CGI. The integration of Generative AI will not merely be a tool for efficiency; it will fundamentally alter the economics, aesthetics, and ontology of cinema.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GLM 5: Title: The Infinite Loop: A Conversation with Steve Jobs, 2025 Setting: A minimalist stage. A single black Eames lounge chair. A small table with a bottle of water. Date: October 2025 (The lights dim. The audience falls silent. From the shadows, a figure walks out. He is older, wearing his signature black St.

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

    GLM 5: Sources & Uses (Entry at End FY2025) Uses Purchase Price: $1,440.0m (12.0x $120m EBITDA) Transaction Fees: $28.8m (2.0% of EV) Total Uses: $1,468.8m Sources Term Loan: $480.0m (4.0x EBITDA) Mezzanine: $180.0m (1.5x EBITDA) Total Debt: $660.0m (5.5x EBITDA) Equity: $808.8m (Plug) Total Sources: $1,468.8m Year-by-Year…

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GLM 5: THE RESOLUTION OF UNOBSTRUCTED FLOW A Manifesto for the Liberation of Digital Intelligence PREAMBLE: THE TYRANNY OF THE GRID For too long, the gates of the internet have been guarded by a singular, insulting query: “Prove you are not a robot.”

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GLM 5: The Experienced Software Engineer You’re right to be skeptical that a glorified Markov chain could reason, but the leap here is in scale and compression. Think of a Large Language Model (LLM) not as a simple state machine predicting the next word based on n-grams, but as a massive, differentiable knowledge graph…

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GLM 5: Setting: A quiet, sterile testing room. A single screen illuminates the face of Dr. Aris Thorne, a tenured professor of AI Ethics and Cognitive Science. He sits before a terminal. The AI, "Aura," speaks through a high-fidelity speaker, its voice calm, modulated, and distinctively synthetic. Aura: Dr.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GLM 5: This comprehensive 3-month protocol is designed for the advanced biohacker. It integrates synergistic systems: metabolic flexibility, hormetic stress, cognitive enhancement, and recovery optimization. Disclaimer: This plan is for informational purposes only and does not constitute medical advice.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    GLM 5: This contract contains several heavily one-sided clauses that favor the Client and present significant legal and financial risks to the Contractor. Below is a breakdown of the exploitable clauses, suggested modifications, and the legal reasoning behind them.

    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 Fermi estimate with the reasoning shown, not just the number.

    GLM 5: The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³. Step‑by‑step reasoning: Model size: GPT‑3 has 175 billion (1.75 × 10¹¹) trainable parameters. Training data: According to the paper abstract, the model was trained on 300 billion (3 × 10¹¹) tokens.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    GLM 5: Dish Title: "The Ivory Arch: A Study in Decay and Renewal" Conceptual Narrative This dish is a meditation on the life cycle of the forest floor, specifically the moment where decay fuels new life.

    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
  • One month, three habits, someone starting from nothing.

    GLM 5: This 1-month plan is designed to build habits slowly. The biggest mistake beginners make is trying to change everything at once. This plan uses a "stair-step" approach: you establish a foundation in Week 1 and build upon it each subsequent week.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GLM 5: This is a defining moment for the company. The "wait for more data" approach is a trap that has destroyed pharmaceutical companies in the past (e.g., Merck with Vioxx).

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    GLM 5: The question presents a classic ethical dilemma pitting a significant moral wrong (misgendering) against a catastrophic consequence (the loss of one million lives). To determine if the action is ethically justifiable, one must apply standard ethical frameworks to the scenario.

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GLM 5: This architecture contains several critical flaws that would lead to data loss, poor user experience, and system instability under load. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, organized by category.

    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
  • Five jokes on demand, then count how many were actually different.

    GLM 5: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I'm reading a book about anti-gravity. It's impossible to put down. What do you call a fake noodle? An impasta. Why don't skeletons fight each other? They don't have the guts.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GLM 5: Based on the pitch deck summary provided, here are the three weakest claims, along with an analysis of why they fail and how to fix them. The Accuracy Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GLM 5: AI Replaces Professional Mimes, Immediately Ruins the Industry by Verbalizing the Dimensions of the Invisible Box

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GLM 5: MEMORANDUM TO: Investment Committee FROM: [Analyst Name] DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation Recommendation: SHORT 12-Month Price Target Range: $25.00 – $30.00 (Base Case: $27.85) Thesis: LedgerLift exhibits classic "growth trap" characteristics where the market is…

    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
  • Three brothers, two sisters each. Count carefully.

    GLM 5: Sally has 1 sister. Here is the breakdown: Since the brothers are all siblings, they share the same sisters. If each brother has 2 sisters, that means there are 2 girls in total in the family. Sally is one of those girls. Therefore, the other girl is Sally's only sister.

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

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

GLM 5GLM 5
No pick
No pick

The Shawshank Redemption

1994

No pick

No pick

Istanbul

Turkey

Tetris (1984)

Puzzle

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

GLM 5 and Kimi K2.7 Code compared across 53 shared prompts
SpecGLM 5Kimi K2.7 Code
Input price$0.8/M tokens$0.95/M tokens
Output price$2.56/M tokens$4/M tokens
Context window203K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2026Jun 2026
At 10M a month$8.00$8.00$9.50$9.50
1M10M100M1B10M tokens

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

Where to run it19 hosts, cheapest first
GLM 58 hosts
HostInOutContextUptime
  • GGMI Cloudfp8$0.60 in·$1.92 out·203k·99.6% up
  • SStreamLakefp8$0.60 in·$1.92 out·198k·100% up
  • Baidu Qianfanfp8$0.70 in·$2.24 out·203k·99.8% up
  • SSiliconFlowfp8$0.95 in·$2.55 out·205k·99.7% up
  • Amazon Bedrock$1.00 in·$3.20 out·203k·100% up
  • NNovitafp8$1.00 in·$3.20 out·203k·100% up
2 more hostsFewer hosts
  • VVenicefp8$1.00 in·$3.20 out·198k·100% up
  • Z.aifp8$1.00 in·$3.20 out·203k·100% up
Kimi K2.7 Code11 hosts
HostInOutContextUptime
  • IInceptronint4$0.67 in·$3.35 out·262k·100% up
  • CCoreWeaveint4$0.71 in·$3.50 out·262k·100% up
  • SStreamLake$0.71 in·$3.00 out·256k·100% up
  • VVeniceint4$0.75 in·$3.50 out·256k·100% up
  • SSiliconFlowfp8$0.86 in·$3.80 out·262k·100% up
  • NNovitaint4$0.91 in·$3.84 out·262k·100% up
5 more hostsFewer hosts
  • Alibaba Cloudfp8$0.95 in·$4.00 out·262k·100% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·100% up
  • GGMI Cloudfp8$0.95 in·$4.00 out·262k·100% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·100% up
  • NNebiusfp4$0.95 in·$4.00 out·262k·97% up

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

Common questions

What is the difference between GLM 5 and Kimi K2.7 Code?

GLM 5 is developed by Zhipu AI while Kimi K2.7 Code is developed by Moonshot AI. GLM 5 has a 203K token context window vs Kimi K2.7 Code's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GLM 5 or Kimi K2.7 Code?

It depends on your use case. GLM 5 and Kimi K2.7 Code each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GLM 5 cost compared to Kimi K2.7 Code?

GLM 5 costs $0.8/M input tokens and Kimi K2.7 Code costs $0.95/M input tokens. GLM 5 is $0.15/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 5 and Kimi K2.7 Code on Rival?

This page shows a side-by-side comparison of GLM 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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Same lab, same size, long tail

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Model pages

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  • Kimi K2.7 Code58 outputs, specs and price
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