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  5. GLM 5.1vsGPT-6 Luna
Updated Sep 2026

GLM 5.1vsGPT-6 Luna

GPT-6 Luna is cheaper than GLM 5.1 at $0.1/M vs $1.4/M input tokens.

GLM 5.1 and GPT-6 Luna compared across 19 shared prompts
SpecGLM 5.1GPT-6 Luna
Input price$1.4/M tokens$0.1/M tokens
Output price$4.4/M tokens$0.5/M tokens
Context window203K tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 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 5.1265 words
Creative Name: Midnight Maple Peanut Butter Bars Prep time: 10 minutes Cook time: 0 minutes (Chill time: 30 minutes) Ingredients (Exactly 7): Rolled oats (1 cup) Creamy peanut butter (1/2 cup) Maple syrup (1/3 cup) Semi-sweet chocolate chips (1/4 cup) Vanilla extract (1 tsp) Ground cinnamon (1/2 tsp) Kosher salt (1/4…
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GPT-6 Luna113 words
Crispy Parmesan Chickpeas A crunchy, savory snack with a cheesy finish Ingredients (7): 1 can chickpeas, drained and dried 1 tablespoon olive oil ½ teaspoon salt ½ teaspoon paprika ¼ teaspoon garlic powder ¼ cup grated Parmesan 1 tablespoon lemon juice Prep time: 5 minutes Cook time: 30–35 minutes Instructions: Heat…
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GLM 5.11,442 words
This contract is heavily one-sided and contains numerous clauses that are either inherently exploitative or give the Client excessive discretionary power to the detriment of the Contractor. Below is a clause-by-clause analysis of the exploitable terms, suggested modifications, and the legal reasoning behind them.
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GPT-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
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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 5.1717 words
This 1-month plan is designed to build a foundation for longevity without overwhelming you. The secret to long-term success is consistency over intensity. Instead of overhauling your life overnight, you will add one small, manageable habit each week across three core pillars: Movement, Nourishment, and Sleep.
Read the full answer
GPT-6 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
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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 5.11,378 words
As CEO, my north star in this crisis is unequivocally patient safety. The "wait for more data" approach is a catastrophic trap—both ethically and legally. History (e.g., Vioxx, Fen-Phen) shows that delaying disclosure of a known severe adverse event transforms a medical safety issue into corporate fraud, manslaughter…
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GPT-6 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
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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 5.11,208 words
To envision the invention of the transistor in 1920, we must first resolve a historical anomaly: quantum mechanics—the theoretical foundation of semiconductors—did not yet exist. For this timeline to work, we must assume a serendipitous empirical leap.
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GPT-6 Luna1,472 words
The most important caveat is that inventing a transistor is not the same as inventing the modern semiconductor industry. A device demonstrated in 1920 might be a crude, low-power, unreliable point-contact transistor.
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Debug This Architecture

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

GLM 5.11,173 words
This architecture contains several critical flaws that will lead to data loss, race conditions, severe performance bottlenecks, and security vulnerabilities. Below is a detailed breakdown of the issues and proposed solutions.
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GPT-6 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
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Our Verdict
GPT-6 Luna
GPT-6 Luna
GLM 5.1
GLM 5.1Runner-up

Not enough votes to call it. On the specs, GPT-6 Luna has the edge: newer, bigger context window, major provider backing.

GPT-6 Luna costs 8.8x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 5.1
Input
$1.40
Output
$4.40
GPT-6 Luna
Input
$0.10
14× cheaper
Output
$0.50
8.8× cheaper

GPT-6 Luna is cheaper on both: 14× input, 8.8× output.

Where to run it

17 hosts, cheapest first

GLM 5.114 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.96 in·$3.03 out·203k·99.9% upSStreamLakefp8$0.97 in·$3.04 out·200k·99.8% upCChutesfp8$0.98 in·$3.08 out·203k·91.3% upDDeepInfrafp4$1.05 in·$3.50 out·203k·99.9% upSSiliconFlowfp8$1.19 in·$3.74 out·205k·100% upPPhala$1.21 in·$4.20 out·203k·89.8% up
8 more hostsFewer hosts
AAtlasCloudfp8$1.26 in·$3.96 out·203k·99.3% upAlibaba Cloudfp8$1.33 in·$4.18 out·203k·99.7% upNNovitafp8$1.38 in·$4.40 out·205k·99.5% upFFriendli$1.40 in·$4.40 out·203k·100% upGGMI Cloudfp8$1.40 in·$4.40 out·203k·98.9% upNNebiusfp8$1.40 in·$4.40 out·203k·97.1% upZ.aifp8$1.40 in·$4.40 out·203k·99.9% upVVenicefp8$1.40 in·$4.40 out·200k·95.5% up
GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 5.1 is developed by Z.ai while GPT-6 Luna is developed by OpenAI. GLM 5.1 has a 203K token context window vs GPT-6 Luna's 1.1M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.1 and GPT-6 Luna each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

GLM 5.1 costs $1.4/M input tokens and GPT-6 Luna costs $0.1/M input tokens. GPT-6 Luna is $1.30/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 5.1 and GPT-6 Luna 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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