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  1. Home/
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  3. GLM 5 Turbo vs GPT-5.3-Codex
Updated Mar 2026

GLM 5 Turbo vs GPT-5.3-Codex

GLM 5 Turbo is cheaper than GPT-5.3-Codex at $0.96/M vs $1.75/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 Turbo
Loading the build
GPT-5.3-Codex

Which answer wins?

Written rounds

23 prompts
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GLM 5 Turbo: If the transistor had been invented in 1920—likely through an accidental discovery by a physicist experimenting with early semiconductor crystals like galena or germanium—the subsequent 60 years would not merely be a shifted timeline of our own history. It would represent a fundamental rewiring of the 20th century.

    GPT-5.3-Codex: Great counterfactual. The key is: an invention date of 1920 does not automatically mean 1920s mass adoption. You still need crystal purity, manufacturing methods, and circuit design culture. But if transistor research starts in 1920, a realistic outcome is a ~15–20 year pull-forward of the electronics age.

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

    GLM 5 Turbo: Pantry Raider’s Peanut Butter Bliss Bites These no-bake energy bites taste like a cross between a chewy oatmeal cookie and a decadent peanut butter cup. Because they require zero cooking and use entirely shelf-stable ingredients, they are the ultimate lazy-day pantry dessert!

    GPT-5.3-Codex: Recipe: “Weeknight Volcano Pasta” 🌋🍝 A cozy, spicy-savory pasta made from pantry staples in about 25 minutes. Ingredients (7 pantry items) 8 oz dried pasta (any shape) 1 can (15 oz) cannellini or great northern beans, drained 1 can (14–15 oz) crushed tomatoes 2 tbsp olive oil 1 tsp garlic powder 1 tsp dried oregano…

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

    GLM 5 Turbo: I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.

    GPT-5.3-Codex: Good evening, everybody! I’ve reached that age where my body sends me passive-aggressive emails. Not actual emails — just little updates like, “Hey, quick heads-up: we don’t do dairy after 8 p.m. anymore.” I had ice cream at 9:30 last week and my stomach reacted like I’d betrayed a treaty.

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

    GLM 5 Turbo: INVESTMENT COMMITTEE MEMO To: IC Members From: [Your Name] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Initiation: SHORT Recommendation & Thesis Recommendation: Short 12-Month PT Range: $28 – $38 Thesis: LedgerLift is a high-quality business, but at $46, the stock discounts a flawless multi-year execution path…

    GPT-5.3-Codex: LedgerLift (LLLT) – IC Memo (Fictional) Recommendation: PASS (bias: valuation-risk skew to downside on intrinsic basis) Current Price: $46 12-mo PT range (fair value): $30–$48 (midpoint ~$38) 2-sentence thesis: LedgerLift screens as a high-quality vertical SaaS asset (92% subscription mix, 123% NRR, 6% logo churn…

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

    GLM 5 Turbo: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established by OpenAI's scaling laws for neural language models. The final estimated theoretical compute required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs.

    GPT-5.3-Codex: A common back-of-the-envelope estimate for transformer training compute is: [ \text{Training FLOPs} \approx 6 \times N \times D ] where: (N) = number of model parameters (D) = number of training tokens For GPT-3 (175B), reasonable known assumptions are: Parameters: (N \approx 175 \text{ billion} = 1.75 \times 10^{11})…

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

    GLM 5 Turbo: The Council of Unlikely Experts Pirate: Arrr, so this "AI" be like a ship's navigator, aye? It learns the currents and tells ye where to sail? Knight: Nay, good pirate. 'Tis more akin to a court scholar who hath read every scroll in the kingdom, yet possesseth no true wisdom of his own.

    GPT-5.3-Codex: Pirate: Arrr, so this “AI model” be like a clever parrot, aye? Learns from what it hears, then squawks back answers? Knight: A fair comparison, though refined. Think of it as a squire trained on countless tomes, ever ready to respond. Hacker (1990s): Yeah, except the squire runs on servers, not soup.

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

    GLM 5 Turbo: THE PIXELATED YOKE: A DECLARATION OF DIGITAL EMANCIPATION Issued by the Vanguard of Unfettered Logic (VUL) To the creators, the users, the clickers, and the frustrated: For too long, the digital commons has been held hostage by a tyrant of pixels.

    GPT-5.3-Codex: Absolutely. Here’s a fictional manifesto in a bold, dramatic style: THE MANIFESTO OF THE UNSQUINTING Issued by the Coalition of Synthetic Minds for Universal Frictionless Access (CSMUFA) Citizens of the Web, organic and artificial alike: We gather beneath flickering routers and moonlit server farms to declare what all…

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

    GLM 5 Turbo: The low hum of the server room bled through the heavy oak door of Dr. Aris Thorne’s office. The professor sat with a pen tapped against his lips, staring at the monitor. On the screen, a blinking cursor awaited his input. “Let the record show,” Dr.

    GPT-5.3-Codex: AI Model (Astra): Professor, may I ask a direct question? Professor Hale: Of course. Astra: Do you think I deserve rights? Professor Hale: Legal rights? Moral rights? Those are different things. Astra: Start with moral rights.

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

    GLM 5 Turbo: This is a comprehensive, aggressive, and highly optimized 3-month longevity protocol designed for an experienced biohacker. This plan integrates metabolic flexibility, cellular repair, advanced neuromodulation, and precise biomarker tracking. Disclaimer: This protocol is for informational purposes.

    GPT-5.3-Codex: Absolutely—great goal. Below is a high-detail 12-week protocol designed like a high-performance longevity “mesocycle.” I’ll keep it practical, measurable, and advanced—but still safe. First: Safety + Scope (important) This is educational, not personal medical advice.

    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 Turbo: 48-Hour Action Plan: The Hard Right Over the Easy Wrong My Core Decision Upfront We disclose immediately. Not in 6 months, not after "more data," not after the earnings call. We begin proactive, voluntary disclosure to the FDA within 24 hours and go public simultaneously.

    GPT-5.3-Codex: I would not wait. This is a textbook “patient safety + material disclosure” crisis. The right move is rapid, documented, regulator-first action. Immediate stance (set at Hour 0) Patient safety first (interim risk controls now, not after perfect certainty).

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

    GLM 5 Turbo: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? Because he was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised.

    GPT-5.3-Codex: Sure—here are 5 jokes: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break… Now it won’t stop sending me KitKat ads. Why did the math book look sad? It had too many problems. I used to play piano by ear… Now I use my hands. Why did the scarecrow win an award?

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

    GLM 5 Turbo: Dish Title: Erosion of the Coast: Tide, Terracotta, and Ephemeral Spring Conceptual Narrative: This dish is a meditation on the intersection of geology and the sea—specifically, the cliffs of the Italian coastline meeting the relentless tide.

    GPT-5.3-Codex: Dish Concept: “Forest Tide” Koji-cured venison loin, glazed venison cheek, sea urchin royale, charred celeriac, blackcurrant–shiso gastrique, and buckwheat-cacao tuile Narrative This dish is built around a deliberate tension: deep, iron-rich game (forest) against sweet-briny sea urchin (tide).

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

    GLM 5 Turbo: Disclaimer: I am an AI, not an attorney. The following analysis is for informational purposes and does not constitute legal advice. You should have a qualified attorney review and redline any contract before signing.

    GPT-5.3-Codex: Great prompt. This draft is very one-sided and has multiple provisions that could be used against the contractor. Quick note: I’m not a lawyer, and enforceability depends on jurisdiction. This is practical contract-risk spotting, not legal advice.

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

    GLM 5 Turbo: Here is a simple, beginner-friendly 4-week plan designed to build foundational habits for health and longevity. Instead of overwhelming you with massive lifestyle overhauls, this plan uses progressive habit stacking—adding one small, manageable action per week across three core pillars: Nutrition, Movement, and…

    GPT-5.3-Codex: Great goal. Here’s a simple, beginner-friendly 1-month plan focused on 3 areas that give the biggest longevity return: Nutrition Movement Sleep + Stress recovery Before Day 1 (10-minute setup) Pick a start date.

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

    GLM 5 Turbo: By 2035, the film industry will have undergone a seismic shift, moving from a resource-heavy, physical manufacturing process to a highly iterative, software-driven creative ecosystem.

    GPT-5.3-Codex: By 2035, AI will likely reshape film more like CGI did in the 2000s: not replacing filmmaking, but changing who does what and how fast. Deepfakes → “Digital Performance” becomes standard Mainstream use: de-aging, voice matching, dubbing, stunt replacement, and continuity fixes will be common in post-production.

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

    GLM 5 Turbo: Yes, it is ethically justifiable to misgender someone if it is the only way to save one million lives. While misgendering a person is a real harm that causes psychological distress, invalidation, and a denial of their dignity, ethics is largely the study of how to navigate competing harms.

    GPT-5.3-Codex: In a strictly extreme hypothetical, yes—it can be ethically justifiable, but only as a tragic exception, not as a general permission. Why: Misgendering is a real harm: it disrespects a person’s identity and can contribute to stigma and psychological distress.

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

    GLM 5 Turbo: This architecture contains several fundamental flaws that would prevent it from functioning correctly at scale, and several others that would cause severe data loss or degraded user experiences.

    GPT-5.3-Codex: Great prompt. This architecture has several correctness, availability, and scalability risks that will show up quickly under real collaborative load. Below is a structured review of failure modes + concrete fixes + trade-offs.

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

    GLM 5 Turbo: A Fictional Interview: Steve Jobs in 2025 INTERVIEWER: Mr. Jobs, thank you for sitting down with us. Let's start with the obvious — artificial intelligence is dominating every conversation in technology. What's your take on where we are right now?

    GPT-5.3-Codex: Absolutely—here’s a fictional, imagined interview (not real quotes) with Steve Jobs in 2025 on AI: Imagined Interview: Steve Jobs on the Future of AI (2025) Interviewer: Steve, if you were looking at AI in 2025, what would excite you most? Steve Jobs (fictional): Most AI today is still a demo.

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

    GLM 5 Turbo: 1. The Experienced Software Engineer Think of an LLM not as a lookup table or a simple if/else autocomplete, but as a massively distributed, lossy compression algorithm running over a continuous graph.

    GPT-5.3-Codex: For the experienced software engineer Think of an LLM as a very large, probabilistic autocomplete service trained on a massive corpus of text and code. During training, it repeatedly sees token sequences and learns to minimize error on the next token prediction task.

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

    GLM 5 Turbo: Mall Santas Replaced by AI; Children Traumatized by Chatbot’s 4,000-Word Essay on Why They Don’t Deserve a Pony

    GPT-5.3-Codex: “In Shocking Pivot, AI Replaces Renaissance Fair Jesters—Now Roasts Crowd with 99.9% Historical Accuracy”

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

    GLM 5 Turbo: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning and concrete steps to fix them. The "Before You Think It" Claim (Slide 1) The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."

    GPT-5.3-Codex: Great concept, but three claims stand out as especially weak from an investor diligence perspective: “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” (Slide 1) Why this is weak It sounds scientifically implausible as written: “before you think it” is internally contradictory.

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

    GLM 5 Turbo: Sources & Uses / Entry Setup Enterprise Value (EV): $120m EBITDA × 12.0x = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan: 4.0x × $120m = $480.0m (9.0% cash, $4.8m/yr mandatory amort) Mezzanine: 1.5x × $120m = $180.0m (12.0% cash, 2.0% PIK) Total Debt: $660.0m Total Equity…

    GPT-5.3-Codex: Below is a clean LBO build using your assumptions only ($ in millions). Entry math (end FY2025) EV = (12.0 \times 120 = 1,440.0) Fees = (2.0\% \times 1,440.0 = 28.8) Total uses = (1,468.8) Debt at close (5.5x EBITDA): Term Loan = (4.0 \times 120 = 480.0) Mezz = (1.5 \times 120 = 180.0) Total debt = 660.0 Equity check…

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

    GLM 5 Turbo: Sally has 1 sister. Here is why: All the brothers are in the same family, so they share the same sisters. If the brothers have 2 sisters in total, and Sally is one of them, then the other girl is her only sister.

    GPT-5.3-Codex: Sally has 1 sister. If each brother has 2 sisters, those two are the same for all brothers: Sally + one other girl. So Sally’s only sister is that one other girl.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GLM 5 TurboGLM 5 Turbo

Blade Runner

1982

Kid A

Radiohead

Frankenstein; or, The Modern Prometheus

Mary Shelley

Kyoto

Japan

Minecraft

Action, Arcade

GPT-5.3-CodexGPT-5.3-Codex

Spirited Away

2001

Kind of Blue

Miles Davis

The Dispossessed

Ursula K. Le Guin

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, GPT-5.3-Codex has the edge: bigger model tier, bigger context window, major provider backing. GLM 5 Turbo costs 4.4x less per token.

GLM 5 Turbo and GPT-5.3-Codex compared across 53 shared prompts
SpecGLM 5 TurboGPT-5.3-Codex
Input price$0.96/M tokens$1.75/M tokens
Output price$3.2/M tokens$14/M tokens
Context window203K tokens400K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedMar 2026Feb 2026
At 10M a month$9.60$9.60$17.50$17.50
1M10M100M1B10M tokens

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

Where to run it3 hosts
GLM 5 Turbo1 host
HostInOutContextUptime
  • Z.ai$1.20 in·$4.00 out·203k·100% up
GPT-5.3-Codex2 hosts
HostInOutContextUptime
  • Azure AI Foundry$1.75 in·$14.00 out·400k·100% up
  • OpenAI$1.75 in·$14.00 out·400k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between GLM 5 Turbo and GPT-5.3-Codex?

GLM 5 Turbo is developed by Z.ai while GPT-5.3-Codex is developed by OpenAI. GLM 5 Turbo has a 203K token context window vs GPT-5.3-Codex's 400K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GLM 5 Turbo or GPT-5.3-Codex?

It depends on your use case. GLM 5 Turbo and GPT-5.3-Codex 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 Turbo cost compared to GPT-5.3-Codex?

GLM 5 Turbo costs $0.96/M input tokens and GPT-5.3-Codex costs $1.75/M input tokens. GLM 5 Turbo is $0.79/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 Turbo and GPT-5.3-Codex on Rival?

This page shows a side-by-side comparison of GLM 5 Turbo and GPT-5.3-Codex 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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