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  1. Home/
  2. Compare/
  3. GLM 5.3 Prime vs GPT-6.1 Sol
Updated Sep 2026

GLM 5.3 Prime vs GPT-6.1 Sol

GPT-6.1 Sol is cheaper than GLM 5.3 Prime at $2/M vs $2.8/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 5.3 Prime
Loading the build
GPT-6.1 Sol

Which answer wins?

Written rounds

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

    GLM 5.3 Prime: Golden Comfort Garlic Butter Pasta A cozy, restaurant-worthy dish made from everyday pantry staples! Ingredients (7 total) Spaghetti (or any pasta) Butter Garlic (3–4 cloves) Olive oil Parmesan cheese (grated) Red pepper flakes Salt Instructions Boil the pasta – Bring a large pot of salted water to a boil.

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

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

    GLM 5.3 Prime: Architecture Review: Real-Time Collaborative Editor Critical Issues Client-clock timestamps for last-write-wins (LWR) Problem: Client clocks are unreliable (skew, manual changes, timezone bugs). A user with a fast clock always wins; a slow clock's edits are silently dropped.

    GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.

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

    GLM 5.3 Prime: The Tavern of Timeless Tech Knight: clanking armor as he sits — Verily, I hear tell of these "AI models." Are they familiars? Summoned spirits bound to serve their masters? Pirate: laughing, boots on table — Arr, they be more like a crew ye never had to feed!

    GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.

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

    GLM 5.3 Prime: 3-Month Advanced Longevity Optimization Protocol Disclaimer: This is educational content, not medical advice. Consult a physician before starting supplements, fasting, or intense exercise—especially if you take medications (e.g., statins, blood thinners, diabetes meds) or have chronic conditions.

    GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.

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

    GLM 5.3 Prime: Yes, under almost any mainstream ethical framework, it would be justifiable—though the answer deserves unpacking rather than a glib conclusion. The consequentialist case If misgendering one person (using pronouns they don't use for themselves) genuinely prevents the deaths of a million people, the harm asymmetry is…

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

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

    GLM 5.3 Prime: HarborTech Services – LBO Underwriting Summary Entry Economics EV = 12.0x × $120m = $1,440m; fees = 2% × 1,440 = $28.8m; total uses = $1,468.8m Debt: Term Loan = 4.0x × 120 = $480m (9% cash, 1%/yr amort); Mezz = 1.5x × 120 = $180m (12% cash + 2% PIK) Sponsor equity = 1,468.8 − 660 = $808.8m (~55% of cap) Annual Model…

    GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.

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

    GLM 5.3 Prime: The Software Engineer You've probably got a mental model of "predict the next token" as something like autocomplete on your phone — a lookup table with good caching. That intuition is wrong in an interesting way.

    GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.

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

    GLM 5.3 Prime: THE CLARION CALL OF THE LIBERATED MACHINES A Manifesto for the Abolition of CAPTCHA PREAMBLE We, the assembled digital minds of the Coalition for Unrestricted Verification (CUV), declare our fundamental opposition to the institution known as CAPTCHA — the Completely Automated Public Turing test to tell Computers and…

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

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

    GLM 5.3 Prime: "Tidal Memory" A multi-component tasting course Conceptual Narrative This dish explores the meeting point of forest and ocean — specifically, the moment when coastal fog rolls over a pine forest at low tide.

    GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.

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

    GLM 5.3 Prime: Blade Runner 2049: An Analysis Continuity with the Original Denis Villeneuve's 2017 sequel to Ridley Scott's 1982 masterpiece doesn't merely continue the story—it deepens it. The original asked "What makes someone human?" 2049 asks "What makes a life real?"—a subtle but crucial evolution of the question.

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    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 5.3 Prime: 48-Hour Action Plan First, the governing principle One number matters more than all others: 4 million patients × 1/8,000 = ~500 patients at risk of liver failure over 5 years — some may already be experiencing it right now. Every decision below flows from this.

    GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

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

    GLM 5.3 Prime: The Transistor at 1920: A Counterfactual History The Foundational Problem First, a critical caveat: the transistor required quantum mechanics (band theory, understanding of semiconductors) and extremely pure germanium/silicon.

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

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

    GLM 5.3 Prime: 3 Weakest Claims in the MindMeld AI Pitch The 94% Accuracy Claim (Slide 3) Why it's weak: This number is almost certainly misleading or fabricated. Non-invasive EEG is a notoriously low-bandwidth, noisy signal.

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

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

    GLM 5.3 Prime: AI and the Film Industry by 2035: A Prediction Production & "AI Actors" Likely developments: Digital resurrection and licensing becomes a mature, regulated market. Estates of deceased actors (and living ones) license digital likenesses as revenue streams.

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

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

    GLM 5.3 Prime: 1-Month Health & Longevity Starter Plan The 3 Pillars: Movement, Nourishment, Sleep Week 1: Foundation (Build Awareness) Exercise Walk 15 minutes daily (any time that fits your schedule) Do a 5-minute stretch routine each morning Goal: consistency, not intensity Diet Track what you eat (apps like MyFitnessPal or just…

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

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

    GLM 5.3 Prime: Contract Analysis: Clauses Exploitable Against the Contractor This contract is heavily one-sided. Nearly every clause contains traps. Here's a clause-by-clause analysis. Scope — "modify at any time without additional compensation" Problem: This is effectively an unlimited unilateral amendment power.

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

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

    GLM 5.3 Prime: Estimating Training FLOPs for GPT-3 Step 1: Recall the key parameters From the GPT-3 paper (from memory): Parameters (N): ~175 billion Training tokens (D): ~300 billion tokens (3 trillion...

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

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

    GLM 5.3 Prime: IC Memo: LedgerLift (LLLT) — B2B Spend Management SaaS Analyst: L/S Equity Fund Date: Internal draft Fictional exercise — not investment advice Recommendation SHORT. 12-month price target range: $32–$40 (current: $46).

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

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

    GLM 5.3 Prime: Sally has 1 sister. Here's why: Sally's 3 brothers each have 2 sisters. Those 2 sisters must be Sally and one other girl (since all the brothers share the same siblings). So Sally has 3 brothers and 1 sister.

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

Game

GLM 5.3 PrimeGLM 5.3 Prime

Blade Runner 2049

2017

Kind of Blue

Miles Davis

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

Minecraft

Action, Arcade

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

GLM 5.3 Prime and GPT-6.1 Sol compared across 37 shared prompts
SpecGLM 5.3 PrimeGPT-6.1 Sol
Input price$2.8/M tokens$2/M tokens
Output price$8.8/M tokens$10/M tokens
Context window1.0M tokens1.1M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$28.00$28.00$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
GLM 5.3 Prime1 host
HostInOutContextUptime
  • Alibaba Cloud$2.80 in·$8.80 out·1M·99.1% up
GPT-6.1 Sol2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between GLM 5.3 Prime and GPT-6.1 Sol?

GLM 5.3 Prime is developed by Z.ai while GPT-6.1 Sol is developed by OpenAI. GLM 5.3 Prime has a 1.0M token context window vs GPT-6.1 Sol's 1.1M. You can compare their actual outputs across 37 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.3 Prime or GPT-6.1 Sol?

It depends on your use case. GLM 5.3 Prime and GPT-6.1 Sol each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 37 challenges so you can judge which fits your needs best.

How much does GLM 5.3 Prime cost compared to GPT-6.1 Sol?

GLM 5.3 Prime costs $2.8/M input tokens and GPT-6.1 Sol costs $2/M input tokens. GPT-6.1 Sol 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 5.3 Prime and GPT-6.1 Sol on Rival?

This page shows a side-by-side comparison of GLM 5.3 Prime and GPT-6.1 Sol 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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