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  5. GLM 5.2vsQwen3.8 Flash
Updated Aug 2026

GLM 5.2vsQwen3.8 Flash

Qwen3.8 Flash is cheaper than GLM 5.2 at $0.15/M vs $1.4/M input tokens.

GLM 5.2 and Qwen3.8 Flash compared across 8 shared prompts
SpecGLM 5.2Qwen3.8 Flash
Input price$1.4/M tokens$0.15/M tokens
Output price$4.4/M tokens$0.47/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)Yes (1 provider)No
ReleasedJun 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 8 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 5.2250 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…
Read the full answer
Qwen3.8 Flash147 words
Moon Halo Cookies A soft, golden sugar cookie with crisp edges and a tender center—made with just 7 pantry staples. Prep time: 10 minutes Cook time: 10 minutes Total time: 20 minutes Makes: About 16 cookies Ingredients 1/2 cup butter, softened 3/4 cup sugar 1 egg 1 teaspoon vanilla extract 1 1/2 cups all-purpose flour…
Read the full answer

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.
Read the full answer
Qwen3.8 Flash368 words
1-Month Beginner Health & Longevity Plan Focus areas: Nutrition, Movement, Sleep Week 1: Build the basics Nutrition Add 1 serving of vegetables to 2 meals per day. Drink water with each meal. Choose protein at most meals: eggs, beans, tofu, chicken, fish, yogurt. Movement Walk 10–15 minutes daily.
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 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 Flash983 words
For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.
Read the full answer
Our Verdict
GLM 5.2
GLM 5.2
Qwen3.8 Flash
Qwen3.8 FlashRunner-up

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

Qwen3.8 Flash costs 9.4x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.2
Input
$1.40
Output
$4.40
Qwen3.8 Flash
Input
$0.15
9.3× cheaper
Output
$0.47
9.4× cheaper

Qwen3.8 Flash is cheaper on both: 9.3× input, 9.4× output.

Where to run it

23 hosts, cheapest first

GLM 5.222 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.56 in·$1.76 out·1M·99.9% upDDeepInfrafp4$0.56 in·$1.80 out·1M·98.8% upSStreamLakefp8$0.64 in·$2.01 out·1M·99.5% upNNovitafp8$0.65 in·$2.04 out·1M·100% upCCoreWeavefp4$0.76 in·$2.42 out·1M·99.8% upAAtlasCloudfp8$0.94 in·$2.95 out·1M·99.9% up
16 more hostsFewer hosts
Alibaba Cloudfp8$0.97 in·$3.04 out·1M·99.9% upIInceptronfp4$1.01 in·$3.18 out·1M·98.8% upSSiliconFlowfp8$1.19 in·$3.74 out·1M·99.7% upPPhalafp8$1.26 in·$3.00 out·1M·99.4% upBBasetenfp8$1.40 in·$4.40 out·1M·100% upCloudflare Workers AI$1.40 in·$4.40 out·262k·100% upFFireworks$1.40 in·$4.40 out·1M·99.9% upFFriendli$1.40 in·$4.40 out·1M·99.8% upGGMI Cloudfp8$1.40 in·$4.40 out·1M·99% upPParasailfp4$1.40 in·$4.40 out·262k·99.8% upTTogether$1.40 in·$4.40 out·1M·99.4% 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·99.7% upDDecartfp4$2.25 in·$8.00 out·1M·99.8% upDDigitalOceandegraded$0.70 in·$2.20 out·262k·97.8% up
Qwen3.8 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 5.2 is developed by Zhipu AI while Qwen3.8 Flash is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3.8 Flash's 1.0M. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.2 and Qwen3.8 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.

GLM 5.2 costs $1.4/M input tokens and Qwen3.8 Flash costs $0.15/M input tokens. Qwen3.8 Flash is $1.25/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 5.2 and Qwen3.8 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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Model pages

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GLM 5.258 outputs, specs and price
Qwen3.8 Flash logo
Qwen3.8 Flash8 outputs, specs and price
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