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  5. GLM 5.2vsQwen3.8 Max Prime
Updated Sep 2026

GLM 5.2vsQwen3.8 Max Prime

GLM 5.2 is cheaper than Qwen3.8 Max Prime at $1.4/M vs $4/M input tokens.

GLM 5.2 and Qwen3.8 Max Prime compared across 19 shared prompts
SpecGLM 5.2Qwen3.8 Max Prime
Input price$1.4/M tokens$4/M tokens
Output price$4.4/M tokens$12/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)Yes (1 provider)No
ReleasedJun 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

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 5.2745 words
The Experienced Software Engineer I know "predicting the next word" sounds like a glorified T9 autocomplete or a simple Markov chain, but the magic isn't in the objective—it’s in the internal state required to achieve it. Think of the model not as a chatbot, but as a massive, dynamically routing interpreter.
Read the full answer
Qwen3.8 Max Prime1,147 words
For the Software Engineer Think of it this way: you've built systems where simple rules at the node level produce emergent behavior at the system level — consensus protocols, eventual consistency, cellular automata-like patterns in distributed state machines. An LLM is a similar phenomenon at a different scale.
Read the full answer

Adversarial Contract Review

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

GLM 5.21,203 words
Here is an analysis of the clauses in the contract that could be exploited against the contractor, along with suggested modifications and the legal reasoning for each. Scope Exploitable Clause: "Client reserves the right to modify the scope at any time without additional compensation."
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Qwen3.8 Max Prime2,126 words
Contract Analysis: Exploitative Clauses & Recommended Modifications Executive Summary This agreement is severely one-sided in favor of the Client. Nearly every clause shifts risk, cost, or obligation onto the Contractor while granting the Client broad unilateral rights. Below is a clause-by-clause breakdown.
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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 5.2250 words
Dish Name: Midnight Magic Peanut Noodles Estimated Time: Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients (7 Common Pantry Staples): Spaghetti (or any long pasta you have on hand) Creamy peanut butter Soy sauce Rice vinegar Honey Garlic powder Crushed red pepper flakes Instructions: Cook…
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Qwen3.8 Max Prime223 words
🍯 Golden Hour Noodles A sweet, savory, garlicky pasta that tastes like it took way more effort than it did. Ingredients (7) # Ingredient Amount 1 Spaghetti 8 oz (half a box) 2 Butter 3 tablespoons 3 Garlic, minced 4 cloves 4 Honey 2 tablespoons 5 Soy sauce 1 tablespoon 6 Red pepper flakes ½ teaspoon 7 Parmesan cheese…
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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 5.21,053 words
If the transistor had been invented in 1920—a full 27 years before its historical debut at Bell Labs—the 20th century would have been radically transformed. The transition from mechanical and vacuum-tube technology to solid-state electronics would have accelerated the Information Age by nearly three decades.
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Qwen3.8 Max Prime2,943 words
The Transistor in 1920: A Counterfactual History Through 1980 Preamble: The Invention Itself The transistor's actual invention required quantum mechanical understanding of semiconductor behavior. In 1920, this theory didn't yet exist.
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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 5.2619 words
Here is a simple, actionable 1-month plan designed to ease you into better health and longevity. By focusing on just three foundational pillars—Nutrition, Movement, and Sleep—you can build sustainable habits without feeling overwhelmed. The goal of this plan is consistency over intensity.
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Qwen3.8 Max Prime473 words
Your 1-Month Foundation Plan A simple, progressive plan built on three pillars. Each week, you add one small layer. No perfection required—just consistency. 🏃 Pillar 1: Movement Why: Even modest activity reduces all-cause mortality risk and improves mood, sleep, and energy within days.
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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 5.2661 words
Here are the three weakest claims in the MindMeld AI pitch deck, along with the reasoning for why they fail to hold up to investor scrutiny and concrete ways to fix them. The Accuracy Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.
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Qwen3.8 Max Prime834 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Calculation (Slide 4) The Claim: "We're targeting the 3.5 billion smartphone users worldwide. TAM: $180B." Why it's weak: This is a textbook example of TAM inflation that will immediately erode investor trust.
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Our Verdict
GLM 5.2
GLM 5.2
Qwen3.8 Max Prime
Qwen3.8 Max PrimeRunner-up

Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 5.2
Input
$1.40
2.9× cheaper
Output
$4.40
2.7× cheaper
Qwen3.8 Max Prime
Input
$4.00
Output
$12.00

GLM 5.2 is cheaper on both: 2.9× input, 2.7× output.

Where to run it

23 hosts, cheapest first

GLM 5.222 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.56 in·$1.76 out·1M·100% upDDeepInfrafp4$0.56 in·$1.80 out·1M·99.3% upSStreamLakefp8$0.64 in·$2.01 out·1M·99.6% upNNovitafp8$0.65 in·$2.04 out·1M·100% upDDigitalOcean$0.70 in·$2.20 out·262k·100% upCCoreWeavefp4$0.76 in·$2.42 out·1M·99.5% up
16 more hostsFewer hosts
IInceptronfp4$0.90 in·$3.18 out·1M·98.8% upAAtlasCloudfp8$0.94 in·$2.95 out·1M·99.8% upAlibaba Cloudfp8$0.97 in·$3.04 out·1M·99.9% upSSiliconFlowfp8$1.19 in·$3.74 out·1M·99.9% upPPhalafp8$1.26 in·$3.00 out·1M·99.9% upBBasetenfp8$1.40 in·$4.40 out·1M·100% upCloudflare Workers AI$1.40 in·$4.40 out·262k·99.9% upFFireworks$1.40 in·$4.40 out·1M·99.7% upFFriendli$1.40 in·$4.40 out·1M·99.7% upGGMI Cloudfp8$1.40 in·$4.40 out·1M·98.6% upPParasailfp4$1.40 in·$4.40 out·262k·99.9% upTTogether$1.40 in·$4.40 out·1M·99.6% upVVenicefp8$1.40 in·$4.40 out·1M·99.8% upWWafer$1.40 in·$4.40 out·1M·99.2% upZ.aifp8$1.40 in·$4.40 out·1M·99.6% upDDecartfp4$2.25 in·$8.00 out·1M·99.9% up
Qwen3.8 Max Prime1 host
HostInOutContextUptime
Alibaba Cloud$4.00 in·$12.00 out·1M·99.9% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 5.2 is developed by Zhipu AI while Qwen3.8 Max Prime is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3.8 Max Prime's 1.0M. 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 5.2 and Qwen3.8 Max Prime 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 5.2 costs $1.4/M input tokens and Qwen3.8 Max Prime costs $4/M input tokens. GLM 5.2 is $2.60/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 5.2 and Qwen3.8 Max Prime 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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