What is the difference between GLM 5.3 and GPT-5.1-Codex?

GLM 5.3 is developed by Zhipu AI while GPT-5.1-Codex is developed by OpenAI. GLM 5.3 has a 1.3M token context window vs GPT-5.1-Codex's 400K. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.3 or GPT-5.1-Codex?

It depends on your use case. GLM 5.3 and GPT-5.1-Codex each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

How much does GLM 5.3 cost compared to GPT-5.1-Codex?

GLM 5.3 costs $0.6538/M input tokens and GPT-5.1-Codex costs $1.25/M input tokens. GLM 5.3 is $0.60/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 and GPT-5.1-Codex on Rival?

This page shows a side-by-side comparison of GLM 5.3 and GPT-5.1-Codex 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.

Updated Aug 2026

GLM 5.3vsGPT-5.1-Codex

GLM 5.3 is cheaper than GPT-5.1-Codex at $0.6538/M vs $1.25/M input tokens.

GLM 5.3 and GPT-5.1-Codex compared across 13 shared prompts
Spec	GLM 5.3	GPT-5.1-Codex
Input price	$0.6538/M tokens	$1.25/M tokens
Output price	$2.0548/M tokens	$10/M tokens
Context window	1.3M tokens	400K tokens
Weights	Open	Closed
Free API (OpenRouter)	No	No
Released	Aug 2026	Nov 2025

Side by side

Same prompt, both answers

Opening lines from 2 of the 13 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 5.3210 words

Golden Pantry Fried Rice Total Time: 20 minutes (5 min prep, 15 min cook) Ingredients (7 pantry staples) Cooked white rice (day-old is best) Eggs Soy sauce Garlic (minced or garlic powder) Frozen peas and carrots Canned corn Vegetable oil Instructions Prep (5 min): Break up cold rice with a fork. Drain the corn.

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GPT-5.1-Codex117 words

Recipe: Cloud-Burst Cinnamon Oat Cups Ingredients (7 total): Rolled oats – 1 cup Honey – 2 tbsp Peanut butter (or any nut butter) – 3 tbsp Cinnamon – ½ tsp Vanilla extract – ½ tsp Dried cranberries (or raisins) – ¼ cup Pinch of salt Instructions: In a bowl, microwave peanut butter and honey for 20 seconds just to…

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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 5.3415 words

1-Month Beginner Health & Longevity Plan Week 1: Foundation & Awareness Goal: Establish baselines, not perfection 🥗 Diet Track what you currently eat for 3 days (no judging—just observe) Drink a glass of water upon waking each morning Add ONE vegetable to one meal daily 🏃 Exercise Walk 15 minutes daily (any pace, any…

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GPT-5.1-Codex492 words

Here’s a simple, beginner-friendly 1-month plan focused on three key areas—Nutrition, Movement, and Rest & Recovery—to kickstart better health and longevity. Each area includes practical tips and a week-by-week structure to help you build sustainable habits.

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Our Verdict

GLM 5.3

GPT-5.1-Codex

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

GLM 5.3 costs 4.9x less per token.

Too close to call

API pricing

Cost per 1M tokens

GLM 5.3

Input

$0.65

1.9× cheaper

Output

$2.05

4.9× cheaper

GPT-5.1-Codex

Input

$1.25

Output

$10.00

GLM 5.3 is cheaper on both: 1.9× input, 4.9× output.

Where to run it

31 hosts, cheapest first

GLM 5.330 hosts

HostInOutContextUptime

Baidu Qianfanfp8$0.65 in$2.05 out1M99.8% up Morph$0.71 in$2.24 out1M99.8% up Rekafp8$0.76 in$2.57 out262k99.4% up Sail Researchfp8$0.77 in$4.00 out1M99.9% up Novitafp8$0.78 in$2.46 out1M99.9% up io.netfp8$0.82 in$2.77 out262k99.7% up

24 more hosts

Phala$0.84 in$2.64 out1M99.5% up DeepInfrafp4$0.90 in$3.00 out1M98% up InferenceNetfp4$0.90 in$3.00 out1M98% up DigitalOcean$0.91 in$2.86 out1M99.8% up Inceptronfp4$1.04 in$3.39 out1M99.4% up GMI Cloudfp8$1.05 in$3.30 out1M99.5% up Makorafp4$1.05 in$4.20 out980k97.3% up SiliconFlowfp8$1.12 in$3.52 out1M99.7% up Alibaba Cloud$1.19 in$3.74 out1M100% up Decartfp4$1.19 in$3.74 out1M99.1% up Friendli$1.26 in$3.96 out1M100% up AkashMLfp8$1.30 in$4.40 out1M100% up AtlasCloudfp8$1.40 in$4.40 out1M99.4% up Basetenfp4$1.40 in$4.40 out1M99.7% up Cloudflare Workers AI$1.40 in$4.40 out1.3M99.8% up Crusoefp4$1.40 in$4.40 out1M98.3% up Fireworks$1.40 in$4.40 out1M99.5% up Mistralnvfp4$1.40 in$4.40 out1M99.7% up Modal$1.40 in$4.40 out1M99% up Parasailfp8$1.40 in$4.40 out1M99.1% up Together$1.40 in$4.40 out1M98.1% up Venice$1.40 in$4.40 out1M98.8% up Wafer$1.40 in$4.40 out1M99.9% up Z.aifp8$1.40 in$4.40 out1M99.9% up

GPT-5.1-Codex1 host

HostInOutContextUptime

Azure AI Foundry$1.25 in$10.00 out400k100% up

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

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Same prompt, both answers

Simple 7-Ingredient Recipe

Beginner's Longevity Plan

Cost per 1M tokens

31 hosts, cheapest first

What we learned reading every model

Common questions

What is the difference between GLM 5.3 and GPT-5.1-Codex?

Which is better, GLM 5.3 or GPT-5.1-Codex?

How much does GLM 5.3 cost compared to GPT-5.1-Codex?

How can I compare GLM 5.3 and GPT-5.1-Codex on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages

Same prompt, both answers

Simple 7-Ingredient Recipe

Beginner's Longevity Plan

Cost per 1M tokens

31 hosts, cheapest first

What we learned reading every model

Common questions

What is the difference between GLM 5.3 and GPT-5.1-Codex?

Which is better, GLM 5.3 or GPT-5.1-Codex?

How much does GLM 5.3 cost compared to GPT-5.1-Codex?

How can I compare GLM 5.3 and GPT-5.1-Codex on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages