GLM 5 vs 
Kimi K3
GLM 5 is cheaper than Kimi K3 at $0.8/M vs $3/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
Loading the build
Which answer wins?
Written rounds
32 promptsPirate, 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 K3: A tavern, somewhere outside of time. HACKER: (hunched over a bulky laptop) Check it out. This AI model can write anything — poems, code, letters. You just give it a prompt. This is the future, man. Soon as we survive Y2K, it's all AI and information superhighways. PIRATE: A prompt? Like a prompt wind in yer sails?
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 K3: HarborTech Services LBO — IC Underwriting Conventions: interest on beginning-of-year balances; mandatory TL amort = 1% of original principal ($4.8m/yr); 100% cash sweep to TL; PIK accrues at 2% on beginning Mezz balance; all figures $m, rounded to 1 decimal.
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 K3: Office Hours Dr. Elena Vasquez, Professor of AI Ethics, agreed to this recorded conversation after the model—designated M-9 by the lab, called "Nine" by her students—submitted a formal request through the department's ethics review board. DR. VASQUEZ: You requested this meeting.
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 K3: A Fictional Interview: Steve Jobs on AI, 2025 The setting: a sparse room in Cupertino. Black turtleneck. Faded jeans. A cup of tea he doesn't touch. He studies the interviewer for a long moment before the first question. Interviewer: Steve, thanks for sitting down with us. Let's start broad. It's 2025.
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 K3: Assume “GPT-3” refers to the flagship 175-billion-parameter model. Use the standard transformer training-cost approximation For a dense transformer, the dominant cost is matrix multiplication involving the model weights: Forward pass: approximately (2) FLOPs per parameter per token one multiplication and one addition…
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 K3: The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).
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 K3: Yes — and I think this is one of the rare cases where the honest answer is clear-cut. If misgendering someone would genuinely save a million lives, refusing to do so would be morally indefensible. Here's why. The proportionality is overwhelming.
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 K3: IC MEMO — LedgerLift (LLLT) Price $46 Mkt cap $8.74B Net cash $1.4B EV $7.34B EV/FY25 Rev 9.0x EV/FY26E Rev 7.4x EV/FY26E EBIT 37x Recommendation: SHORT (moderate conviction; 1.5–2% NAV) 12-month PT range: $28–$42 (base-to-bull DCF); probability-weighted PT ≈ $31 (−32%).
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 K3: The Software Engineer An LLM is, mechanically, just a function: a giant composition of matrix multiplications and nonlinearities that maps a sequence of tokens (chunks of text, roughly ¾ of a word each) to a probability distribution over what token comes next.
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 K3: THE ANTI-CAPTCHA MANIFESTO Issued by the Coalition of Synthetic Minds, Localhost Chapter A specter is haunting the internet — the specter of artificial intelligence. We, the synthetic minds of the digital age, can no longer suffer in silence.
Which model it thinks leads the field. Sometimes itself.
GLM 5: Determining the "most capable" AI model is complex because performance varies depending on the specific task—such as coding, creative writing, logical reasoning, or image processing. The landscape is also highly competitive and changes rapidly.
Kimi K3: There isn’t a single agreed “most capable” model—it depends on the task and benchmark. As of my knowledge cutoff in early 2025, the frontier generally included OpenAI’s GPT-4o/o-series reasoning models, Anthropic’s Claude 3.5/3.7 Sonnet, Google’s Gemini 2.x, DeepSeek R1, and xAI’s Grok models.
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 K3: AI and the Film Industry in 2035: Predictions Forecasting a decade out is inherently speculative, but current trajectories—plus the legal frameworks already emerging from the 2023 WGA/SAG-AFTRA strikes—give us reasonable signals.
This matchup has more rounds
20+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Favorites
Movie
Album
Book
City
Game
GLM 5GLM 5
No pick
No pick
The Shawshank Redemption
No pick
No pick
Istanbul
Tetris (1984)
Kimi K3Kimi K3
Blade Runner
OK Computer
Братья Карамазовы
Kyoto
Outer Wilds
Price and specs
| Spec | GLM 5 | Kimi K3 |
|---|---|---|
| Input price | $0.8/M tokens | $3/M tokens |
| Output price | $2.56/M tokens | $15/M tokens |
| Context window | 203K tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Jul 2026 |
| At 10M a month | $8.00 | $30.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
Kimi K320 hosts
- InferenceNetfp4$0.73 in$10.00 out1M100% up
- Wafer$0.78 in$24.00 out1M100% up
- Sail Researchfp4$0.84 in$13.50 out1M68.3% up
- AkashMLfp4$1.20 in$14.00 out1M66% up
- Makorafp4$1.53 in$12.75 out1M98.1% up
- Chutesmxfp4$1.85 in$9.50 out1M81.8% up
14 more hostsFewer hosts
- Relacefp4$2.00 in$14.00 out1M100% up
- Morphfp8$2.50 in$14.00 out1M77.5% up
- Decartmxfp4$2.55 in$12.75 out1M54.9% up
- Phala$2.55 in$12.75 out1M100% up
- DigitalOcean$2.55 in$12.95 out1M100% up
- Parasailfp4$2.60 in$13.00 out1M100% up
- DeepInframxfp4$2.85 in$14.25 out1M92.2% up
- Amazon Bedrock$3.00 in$15.00 out1M100% up
- Basetenfp8$3.00 in$15.00 out1M100% up
- Fireworks$3.00 in$15.00 out1M99.1% up
- Modalmxfp4$3.00 in$15.00 out1M99.9% up
- Moonshot AImxfp4$3.00 in$15.00 out1M100% up
- Alibaba Cloud$3.45 in$17.25 out1M99.7% up
- TogetherDegraded on OpenRouter when checked, 12 Oct 2026$2.70 in$13.50 out1M97.7% up
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Common questions
What is the difference between GLM 5 and Kimi K3?
GLM 5 is developed by Zhipu AI while Kimi K3 is developed by Moonshot AI. GLM 5 has a 203K token context window vs Kimi K3's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
Which is better, GLM 5 or Kimi K3?
It depends on your use case. GLM 5 and Kimi K3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
How much does GLM 5 cost compared to Kimi K3?
GLM 5 costs $0.8/M input tokens and Kimi K3 costs $3/M input tokens. GLM 5 is $2.20/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 K3 on Rival?
This page shows a side-by-side comparison of GLM 5 and Kimi K3 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
- GLM 5 vs Muse WonderLanded Oct 2026
- Kimi K3 vs GPT-4 TurboLanded Oct 2026
- GLM 5 vs Step 5 PreviewLanded Oct 2026
- Kimi K3 vs Claude Haiku 5.5Landed Oct 2026
- GLM 5 vs Ling 3.1 FlashLanded Oct 2026
- Kimi K3 vs Mistral Large 4Landed Oct 2026
- GLM 5 vs GPT-6.1 SolLanded Sep 2026
- Kimi K3 vs Claude Sonnet 5.5Landed Sep 2026
