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  5. GLM 4.5vsGPT-6 Astra
Updated Sep 2026

GLM 4.5vsGPT-6 Astra

GLM 4.5 is cheaper than GPT-6 Astra at $0.6/M vs $10/M input tokens.

GLM 4.5 and GPT-6 Astra compared across 54 shared prompts
SpecGLM 4.5GPT-6 Astra
Input price$0.6/M tokens$10/M tokens
Output price$2.2/M tokens$50/M tokens
Context window128K tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

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 4.5209 words
Pantry Pride Pasta A quick, savory pasta dish that transforms basic pantry staples into a flavorful meal! Ingredients (7): Pasta (e.g., spaghetti or penne) Olive oil Garlic (2-3 cloves, minced) Canned diced tomatoes (1 can, ~14 oz) Dried oregano (1 tsp) Salt (to taste) Black pepper (to taste) Instructions: Cook pasta…
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GPT-6 Astra200 words
Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GLM 4.5643 words
Alright, here’s a 3-minute stand-up routine focused on observational humor and relatable frustrations, zero puns allowed: (Starts pacing slightly, mock-serious expression) You know what’s weird? We’ve all become masters of pretending to be busy. Seriously. Walking down the street? Phone out, intense stare.
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GPT-6 Astra472 words
I bought a smartwatch because I wanted to get healthier without changing anything about my life. That’s the dream, right? Same habits, but now there’s a graph. The watch congratulates me for standing up. That’s where I am physically. Getting out of a chair is an achievement with a little fireworks animation.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GLM 4.5119 words
Here are 5 generated jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! Why don't scientists trust atoms? Because they make up everything!
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GPT-6 Astra76 words
My calendar is afraid of commitment—its days are numbered. I bought a treadmill for my cat. Now I own a very expensive nap conveyor. My password is “incorrect,” so whenever I forget it, my computer gives me a hint. I asked the librarian where the books on denial were. She said, “We don’t have those.” Nice try.
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Mini LBO Underwrite

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

GLM 4.5536 words
Year-by-Year Financial Table (FY2026–FY2030) Year Revenue (m) EBITDA (m) TL Cash Int (m) Mezz Cash Int (m) Total Cash Int (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF After Debt Service (m) Ending TL (m) Ending Mezz (m) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027 1,040.04 156.01 41.05…
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GPT-6 Astra560 words
Entry capitalization and operating model All figures in $m. Interest is calculated on beginning-of-year debt balances. Term Loan amortization is 1% of its original principal, or $4.8m annually; remaining cash flow is swept to the Term Loan at year-end. Mezzanine PIK accrues annually.
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Historical Counterfactual Analysis

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

GLM 4.51,983 words
The Transistor Revolution: A 1920 Dawn (Implications through 1980) The invention of the transistor in 1920, instead of 1947, represents a seismic shift in technological history. This 27-year head start would profoundly reshape the 20th century, accelerating innovation while creating unforeseen challenges.
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GPT-6 Astra1,967 words
A transistor invented in 1920 would probably bring the electronics age forward—but not uniformly by 27 years. The first gains would be smaller, more reliable radios and control systems. Computers, integrated circuits, and space systems would follow only when other prerequisites caught up.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GLM 4.5450 words
Digital Crossroads: Pirates, Knights, and Hackers on AI Setting: A strangely timeless tavern. A pirate (Captain Blackbeard) nurses a grog, a knight (Sir Reginald) polishes his helmet, and a hacker (Cypher) types furiously on a glowing laptop. (The tavern hums with anachronistic energy.)
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GPT-6 Astra121 words
Pirate: Arrr, this AI model writes sea shanties, plots me voyages, and never asks for a share o’ the booty! Knight: But can it be trusted? I asked it to name my ancestors, and it invented Sir Geoffrey the Surprisingly Tall. Hacker: Classic hallucination, dude. Fluent output doesn’t mean verified data.
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Our Verdict
GPT-6 Astra
GPT-6 Astra
GLM 4.5
GLM 4.5Runner-up

Not enough votes to call it. On the specs, GPT-6 Astra has the edge: bigger model tier, newer, bigger context window.

GLM 4.5 costs 23x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 4.5
Input
$0.60
17× cheaper
Output
$2.20
23× cheaper
GPT-6 Astra
Input
$10.00
Output
$50.00

GLM 4.5 is cheaper on both: 17× input, 23× output.

Where to run it

3 hosts

GLM 4.51 host
HostInOutContextUptime
Z.aifp8$0.60 in·$2.20 out·131k·100% up
GPT-6 Astra2 hosts
HostInOutContextUptime
Azure AI Foundry$10.00 in·$50.00 out·1.1M·99.8% upOpenAI$10.00 in·$50.00 out·1.1M·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
31%

GLM 4.5 uses 9.1x more emoji

GLM 4.5
GPT-6 Astra
52%Vocabulary62%
17wSentence Length15w
0.52Hedging0.87
5.6Bold4.0
4.8Lists2.3
0.33Emoji0.04
0.66Headings0.77
0.17Transitions0.10
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

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