Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GLM 5.3 FlashXvsGPT-5.4 Pro
Updated Sep 2026

GLM 5.3 FlashXvsGPT-5.4 Pro

GLM 5.3 FlashX is cheaper than GPT-5.4 Pro at $0.37/M vs $30/M input tokens.

GLM 5.3 FlashX and GPT-5.4 Pro compared across 12 shared prompts
SpecGLM 5.3 FlashXGPT-5.4 Pro
Input price$0.37/M tokens$30/M tokens
Output price$1.25/M tokens$180/M tokens
Context window1.0M tokens1.1M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 12 prompts both answered. Formatting stripped, words untouched.

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GLM 5.3 FlashX1,492 words
Counterfactual: The Transistor in 1920 This is a fun one to work through carefully. Let me establish the premise, then trace second- and third-order effects. The Premise Assume point-contact or early junction transistor physics is discovered ~1920 (say, by accident in vacuum tube/semiconductor rectifier research—the…
Read the full answer
GPT-5.4 Pro2,183 words
Most likely, a transistor invented in 1920 would move the electronics/computing frontier forward by about 10–15 years by 1980, not the full 27 years. Reason: the transistor alone is not enough; you also need high-purity materials, crystal growth, photolithography, test equipment, software, batteries, precision…
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GLM 5.3 FlashX695 words
Critique of MindMeld AI Pitch: 3 Weakest Claims "94% accuracy" for thought-to-text decoding (Slide 3) Why it's weak: This claim contradicts the current scientific state of the art. EEG-based decoding (a non-invasive signal measured through the skull) produces extremely noisy data.
Read the full answer
GPT-5.4 Pro609 words
The 3 weakest claims are the ones that are both most extraordinary and least well-supported. Weak claim Why it’s weak How to strengthen it 1) “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” This is the biggest credibility risk in the deck.
Read the full answer

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 FlashX347 words
1-Month Health & Longevity Starter Plan Week 1: Build the Foundation 🥗 Diet Add one vegetable or fruit to every meal (don't restrict anything yet) Drink a glass of water when you wake up each morning 🏃 Exercise Take a 10–15 minute walk daily (same time each day builds the habit) Do 2 sets of 5 squats and 10 wall…
Read the full answer
GPT-5.4 Pro785 words
Here’s a simple, beginner-friendly 1-month health and longevity plan built around 3 key areas: Nutrition Movement Recovery (sleep + stress) The goal is consistency, not perfection. Start small and make the habits easy enough to keep.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

GLM 5.3 FlashX1,267 words
The Skeptical Software Engineer Yes, at inference time an LLM really is just "predict the next token, repeat" — a deterministic function (plus sampling noise) that maps a sequence of tokens to a probability distribution.
Read the full answer
GPT-5.4 Pro1,039 words
For an experienced software engineer Think of an LLM less like a database of facts and more like a gigantic learned program that has been trained to compress the patterns of text, code, and conversations into its weights.
Read the full answer

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 FlashX1,174 words
48-Hour Action Plan: Patient Safety First, Managed Transparency Second Core Decision (Stated Up Front) We report to regulators immediately—voluntarily—and we disclose on the earnings call. The math is brutal and clear: ~500 patients could develop liver failure over 5 years at current prescribing rates (4M ÷ 8,000).
Read the full answer
GPT-5.4 Pro2,267 words
I do not wait. A credible, previously unlabeled risk of liver failure in a chronic-pain drug is a patient-safety crisis, a regulatory crisis, and a securities-disclosure issue at the same time.
Read the full answer

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GLM 5.3 FlashX172 words
Golden Honey Garlic Chickpea Crunch A crispy, sweet-savory skillet dish that works as a snack, side, or topping for rice. Ingredients (7): 1 can chickpeas (drained, patted dry) 3 tbsp honey 3 tbsp soy sauce 3 cloves garlic (minced) 2 tbsp olive oil ½ tsp red pepper flakes 2 tbsp sesame seeds (or crushed peanuts) Prep…
Read the full answer
GPT-5.4 Pro151 words
Dragon Pantry Peanut Noodles A fast, sweet-savory noodle dish made from 7 pantry staples. Ingredients 8 oz spaghetti 1/3 cup peanut butter 3 tbsp soy sauce 1 tbsp honey 1 tbsp vegetable oil 1 tsp garlic powder 1/4 tsp red pepper flakes Water for boiling/thinning the sauce doesn’t count.
Read the full answer
Our Verdict
GLM 5.3 FlashX
GLM 5.3 FlashX
GPT-5.4 Pro
GPT-5.4 Pro

Not enough votes to call it. On the specs, nothing separates them.

GLM 5.3 FlashX costs 144x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3 FlashX
Input
$0.37
81× cheaper
Output
$1.25
144× cheaper
GPT-5.4 Pro
Input
$30.00
Output
$180.00

GLM 5.3 FlashX is cheaper on both: 81× input, 144× output.

Where to run it

3 hosts

GLM 5.3 FlashX1 host
HostInOutContextUptime
Z.aifp8$0.37 in·$1.25 out·1M·100% up
GPT-5.4 Pro2 hosts
HostInOutContextUptime
Azure AI Foundry$30.00 in·$180.00 out·1.1M—OpenAI$30.00 in·$180.00 out·1.1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 FlashX is developed by Zhipu AI while GPT-5.4 Pro is developed by OpenAI. GLM 5.3 FlashX has a 1.0M token context window vs GPT-5.4 Pro's 1.1M. You can compare their actual outputs across 12 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.3 FlashX and GPT-5.4 Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 12 challenges so you can judge which fits your needs best.

GLM 5.3 FlashX costs $0.37/M input tokens and GPT-5.4 Pro costs $30/M input tokens. GLM 5.3 FlashX is $29.63/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 FlashX and GPT-5.4 Pro 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.

Keep exploring

More comparisons

Against the newest arrivals

GLM 5.3 FlashX logoDeepSeek V4 Flash Vision Exp logo
GLM 5.3 FlashX vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
GPT-5.4 Pro logoSolar Pro 4 logo
GPT-5.4 Pro vs Solar Pro 4Landed Sep 2026
GLM 5.3 FlashX logoHy3 logo
GLM 5.3 FlashX vs Hy3Landed Sep 2026
GPT-5.4 Pro logoQwen3.7 Flash logo
GPT-5.4 Pro vs Qwen3.7 FlashLanded Sep 2026
GLM 5.3 FlashX logoLing 3.0 Flash logo
GLM 5.3 FlashX vs Ling 3.0 FlashLanded Sep 2026
GPT-5.4 Pro logoMuse Glimmer 30B logo
GPT-5.4 Pro vs Muse Glimmer 30BLanded Sep 2026
GLM 5.3 FlashX logoGLM 5.3 logo
GLM 5.3 FlashX vs GLM 5.3Landed Sep 2026
GPT-5.4 Pro logoTernary Bonsai 2 27B logo
GPT-5.4 Pro vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

GLM 5.3 FlashX logoGLM 5.3 Flash logo
GLM 5.3 FlashX vs GLM 5.3 FlashSame lab
GLM 5.3 FlashX logoGLM 5.2 logo
GLM 5.3 FlashX vs GLM 5.2Same lab
GPT-5.4 Pro logoGPT-5.4 logo
GPT-5.4 Pro vs GPT-5.4Version compare
GPT-5.4 Pro logoGPT-6 Astra logo
GPT-5.4 Pro vs GPT-6 AstraSame lab
GPT-5.4 Pro logoGLM 4.6 logo
GPT-5.4 Pro vs GLM 4.6Same size
GLM 5.3 FlashX logoGLM 4.7 logo
GLM 5.3 FlashX vs GLM 4.7Same size
GLM 5.3 FlashX logoGLM 4.7 Flash logo
GLM 5.3 FlashX vs GLM 4.7 FlashSame lab
GLM 5.3 FlashX logoGLM 5 logo
GLM 5.3 FlashX vs GLM 5Same lab

Model pages

GLM 5.3 FlashX logo
GLM 5.3 FlashX12 outputs, specs and price
GPT-5.4 Pro logo
GPT-5.4 Pro18 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed