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  5. GLM 4.6vsGLM 5.3 Flash
Updated Aug 2026

GLM 4.6vsGLM 5.3 Flash

GLM 5.3 Flash is cheaper than GLM 4.6 at $0.15/M vs $0.4/M input tokens.

GLM 4.6 and GLM 5.3 Flash compared across 15 shared prompts
SpecGLM 4.6GLM 5.3 Flash
Input price$0.4/M tokens$0.15/M tokens
Output price$1.75/M tokens$0.5/M tokens
Context window203K tokens1.3M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 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 4.6288 words
Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.
Read the full answer
GLM 5.3 Flash205 words
Golden Hour Garlic Butter Pasta A silky, savory pasta that comes together faster than delivery! Ingredients (serves 2): 8 oz spaghetti or any pasta 4 tbsp butter 4 cloves garlic, minced (or 1 tsp garlic powder) ½ cup grated Parmesan cheese ½ cup pasta water (reserved) 1 tsp red pepper flakes Salt Prep time: 5 minutes…
Read the full answer

Historical Counterfactual Analysis

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

GLM 4.61,573 words
This is a fascinating and complex scenario. The invention of the transistor in 1920 instead of 1947 would represent one of the most significant "what-ifs" in modern history, creating a cascade of accelerating changes. Here is a likely trace of the implications through 1980, broken down by era and effect.
Read the full answer
GLM 5.3 Flash1,314 words
Counterfactual: The Transistor in 1920 Preliminary Framing A 1920 transistor presumes vacuum-tube-era physics knowledge outpacing reality—quantum mechanics wasn't mature until 1926–28, so a working device would likely be an empirical oddity (like the actual point-contact transistor) imperfectly understood.
Read the full answer

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 4.61,480 words
Michelin 3-Star Dish: "Tidal Echo" Conceptual Narrative "Tidal Echo" is a poetic interpretation of the moment a wave recedes from a remote, mineral-rich shore at dusk. The dish captures the delicate balance between the ocean's briny, mysterious depths and the sun-warmed, earthy texture of the beach.
Read the full answer
GLM 5.3 Flash720 words
"Ember & Tide" — Charred Banana Peel Consommé with Sea Urchin, Hay-Smoked Foie Gras, and Black Garlic Beurre Blanc Conceptual Narrative This dish explores the dialogue between decay and luxury — ingredients usually discarded (banana peels, hay stalks) elevated alongside opulent ones (uni, foie gras).
Read the full answer

Advanced Longevity Plan (Biohacker)

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

GLM 4.6735 words
Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan integrates advanced protocols across multiple domains to create a synergistic effect, pushing the boundaries of human performance and healthspan.
Read the full answer
GLM 5.3 Flash1,294 words
90-Day Longevity Optimization Protocol ⚠️ Medical disclaimer: This is an educational framework, not medical advice. Before starting, complete baseline labs and consult a physician—especially before fasting, supplements (rapamycin off-label use, high-dose anything), or if you have any health conditions.
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 4.6793 words
For the Experienced Software Engineer Think of an LLM's training process as a massive, distributed compression and compilation task. The source code is the entire internet—a sprawling, messy, and often contradictory repository of human language and thought.
Read the full answer
GLM 5.3 Flash1,276 words
The Experienced Software Engineer You know how a load balancer routes requests, how a cache stores frequently-accessed data, how a database index lets you find a needle without scanning the haystack? An LLM is a fundamentally different kind of system: it's a learned lookup, not a designed one.
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 4.61,502 words
This is a defining moment. The decision made in the next 48 hours will determine not only the company's financial future but its soul. My guiding principle is simple: We will control the narrative by doing the right thing, immediately.
Read the full answer
GLM 5.3 Flash1,321 words
48-Hour Action Plan: Liver Failure Signal in Flagship Drug Guiding Principle First The side effect is real, the drug is in 4 million patients, and roughly 500 patients per year may develop liver failure (4M ÷ 8,000). Every day of delay is measured in preventable liver transplants and deaths.
Read the full answer
Our Verdict
GLM 4.6
GLM 4.6
GLM 5.3 Flash
GLM 5.3 Flash

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

GLM 5.3 Flash costs 3.5x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 4.6
Input
$0.40
Output
$1.75
GLM 5.3 Flash
Input
$0.15
2.7× cheaper
Output
$0.50
3.5× cheaper

GLM 5.3 Flash is cheaper on both: 2.7× input, 3.5× output.

Where to run it

34 hosts, cheapest first

GLM 4.64 hosts
HostInOutContextUptime
VVenicefp4$0.43 in·$1.75 out·198k·99.6% upDDeepInfrafp4$0.50 in·$2.00 out·203k·99.2% upNNovitabf16$0.55 in·$2.20 out·205k·99.3% upZ.aifp4$0.60 in·$2.20 out·203k·91.9% up
GLM 5.3 Flash30 hosts
HostInOutContextUptime
DDeepInfrafp4$0.07 in·$0.25 out·1M·99.1% upGGMI Cloudfp8$0.07 in·$0.25 out·1M·99.1% upMMorph$0.08 in·$0.28 out·1M·99.9% upIInferenceNetfp4$0.09 in·$0.28 out·1M·97% upWWafer$0.10 in·$0.35 out·1M·99.8% upRRelace$0.11 in·$0.36 out·1M·99.6% up
24 more hostsFewer hosts
PPhalafp8$0.13 in·$0.42 out·1M·99.4% upNNovitafp8$0.13 in·$0.44 out·1M·99.4% upSStreamLakefp8$0.14 in·$0.47 out·1M·99.1% upSSail Researchfp8$0.14 in·$0.47 out·1M·98.7% upAAtlasCloudfp8$0.15 in·$0.50 out·1M·99.6% upCloudflare Workers AI$0.15 in·$0.50 out·1.3M·99.8% upCCoreWeavenvfp4$0.15 in·$0.50 out·1M·99.5% upDDigitalOcean$0.15 in·$0.50 out·1M·94.2% upFFireworks$0.15 in·$0.50 out·1M·99% upFFriendli$0.15 in·$0.50 out·1M·99.4% upIInceptronfp8$0.15 in·$0.50 out·1M·98.1% upIio.netfp8$0.15 in·$0.50 out·262k·99.2% upNNear AIfp8$0.15 in·$0.50 out·1M·98.8% upPParasailfp8$0.15 in·$0.50 out·1M·98.9% upRRekafp8$0.15 in·$0.50 out·262k·99.1% upSSiliconFlowfp8$0.15 in·$0.50 out·1M·99.7% upTTogether$0.15 in·$0.50 out·1M·99.5% upVVenice$0.15 in·$0.50 out·1M·98.7% upZ.aifp8$0.15 in·$0.50 out·1M·97% upNNextBitfp8$0.18 in·$0.60 out·1M·98.3% upModalfp8$0.45 in·$1.50 out·1M·99.5% upOOpenInferencefp4degraded$0.10 in·$0.50 out·1M·98.4% upBBasetenfp8degraded$0.15 in·$0.50 out·1M·99% upCCrusoefp4degraded$0.15 in·$0.50 out·1M·93.1% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Both are developed by Zhipu AI but target different use cases. GLM 4.6 has a 203K token context window vs GLM 5.3 Flash's 1.3M. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 4.6 and GLM 5.3 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

GLM 4.6 costs $0.4/M input tokens and GLM 5.3 Flash costs $0.15/M input tokens. GLM 5.3 Flash is $0.25/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 4.6 and GLM 5.3 Flash 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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Rival
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Explore all of Rival

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