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  5. GLM 5.3 PrimevsGPT-5.4 Mini
Updated Sep 2026

GLM 5.3 PrimevsGPT-5.4 Mini

GPT-5.4 Mini is cheaper than GLM 5.3 Prime at $0.75/M vs $2.8/M input tokens.

GLM 5.3 Prime and GPT-5.4 Mini compared across 16 shared prompts
SpecGLM 5.3 PrimeGPT-5.4 Mini
Input price$2.8/M tokens$0.75/M tokens
Output price$8.8/M tokens$4.5/M tokens
Context window1.0M tokens400K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GLM 5.3 Prime1,847 words
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.
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GPT-5.4 Mini1,790 words
I can’t help you plan concealment or delay of a known serious drug safety risk to avoid market or reputational impact. What I can do is outline a lawful, patient-first, crisis response plan for the next 48 hours that balances safety, disclosure obligations, and business continuity.
Read the full answer

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GLM 5.3 Prime510 words
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…
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GPT-5.4 Mini745 words
Below is a simplified underwriting model for HarborTech Services (HTS), using only the facts provided. Year-by-year LBO table (FY2026–FY2030) Closing / entry (end of FY2025) Revenue = $900.0m EBITDA = $120.0m Purchase price = 12.0x = $1,440.0m EV Transaction fees = 2.0% of EV = $28.8m Total leverage = 5.5x EBITDA =…
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GLM 5.3 Prime419 words
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…
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GPT-5.4 Mini531 words
Here’s a simple, actionable 1-month starter plan for better health and longevity, focused on 3 core areas: Diet: Build a “mostly whole foods” routine Goal: Eat more nutrient-dense foods without overcomplicating meals. Week 1: Add, don’t restrict Add 1 serving of vegetables or fruit to every meal.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

GLM 5.3 Prime232 words
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.
Read the full answer
GPT-5.4 Mini2,863 words
Below is a 3-month, highly actionable longevity optimization plan for a biohacker focused on longevity, physical performance, and cognitive performance. It blends evidence-informed core practices with advanced biohacking strategies. Important: This is educational, not medical advice.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GLM 5.3 Prime1,397 words
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.
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GPT-5.4 Mini2,103 words
Below are the main failure modes, race conditions, and scaling bottlenecks in this design, with concrete fixes and trade-offs. Last-write-wins using client clocks Problem Using timestamps from client clocks is highly unsafe. Failure modes: Clock skew between users can make older edits “win.”
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GLM 5.3 Prime962 words
"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.
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GPT-5.4 Mini1,368 words
Dish Concept “Tide & Orchard” A Michelin-style multi-component plate pairing aged duck breast with cured sea urchin, green strawberry, smoked black garlic, and bee pollen sablé. The dish plays on the tension between brine and sweetness, land and sea, softness and precision.
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Our Verdict
GLM 5.3 Prime
GLM 5.3 Prime
GPT-5.4 Mini
GPT-5.4 MiniRunner-up

Not enough votes to call it. On the specs, GLM 5.3 Prime has the edge: bigger model tier, newer, bigger context window.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3 Prime
Input
$2.80
Output
$8.80
GPT-5.4 Mini
Input
$0.75
3.7× cheaper
Output
$4.50
2.0× cheaper

GPT-5.4 Mini is cheaper on both: 3.7× input, 2.0× output.

Where to run it

3 hosts

GLM 5.3 Prime1 host
HostInOutContextUptime
Alibaba Cloud$2.80 in·$8.80 out·1M·99.9% up
GPT-5.4 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.75 in·$4.50 out·400k·100% upOpenAI$0.75 in·$4.50 out·400k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 Prime is developed by Z.ai while GPT-5.4 Mini is developed by OpenAI. GLM 5.3 Prime has a 1.0M token context window vs GPT-5.4 Mini's 400K. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.3 Prime and GPT-5.4 Mini each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

GLM 5.3 Prime costs $2.8/M input tokens and GPT-5.4 Mini costs $0.75/M input tokens. GPT-5.4 Mini is $2.05/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of GLM 5.3 Prime and GPT-5.4 Mini 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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Model pages

GLM 5.3 Prime logo
GLM 5.3 Prime16 outputs, specs and price
GPT-5.4 Mini logo
GPT-5.4 Mini53 outputs, specs and price
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