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  5. GLM 5.3 FlashXvsQwen3.5 35B A3B
Updated Sep 2026

GLM 5.3 FlashXvsQwen3.5 35B A3B

Qwen3.5 35B A3B is cheaper than GLM 5.3 FlashX at $0.25/M vs $0.37/M input tokens.

GLM 5.3 FlashX and Qwen3.5 35B A3B compared across 12 shared prompts
SpecGLM 5.3 FlashXQwen3.5 35B A3B
Input price$0.37/M tokens$0.25/M tokens
Output price$1.25/M tokens$2/M tokens
Context window1.0M tokens262K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Feb 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 12 prompts both answered. Formatting stripped, words untouched.

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 5.3 FlashX1,174 words
48-Hour Action Plan: Patient Safety First, Managed Transparency Second Core Decision (Stated Up Front) We report to regulators immediately—voluntarily—and we disclose on the earnings call. The math is brutal and clear: ~500 patients could develop liver failure over 5 years at current prescribing rates (4M ÷ 8,000).
Read the full answer
Qwen3.5 35B A3B1,180 words
Executive Decision: The "Safety First" Protocol My Core Philosophy: In pharmaceuticals, trust is our only currency. If we lose patient trust or regulatory standing, the $2B revenue becomes irrelevant. Hiding this data is not a business strategy; it is a liability waiting to explode.
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 5.3 FlashX1,492 words
Counterfactual: The Transistor in 1920 This is a fun one to work through carefully. Let me establish the premise, then trace second- and third-order effects. The Premise Assume point-contact or early junction transistor physics is discovered ~1920 (say, by accident in vacuum tube/semiconductor rectifier research—the…
Read the full answer
Qwen3.5 35B A3B1,194 words
This alternate history scenario assumes that in 1920, the theoretical understanding of quantum mechanics and semiconductor physics advanced sufficiently to allow for the creation of a working point-contact transistor. This implies a "Great Leap Forward" in material science and physics during the interwar period.
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 5.3 FlashX347 words
1-Month Health & Longevity Starter Plan Week 1: Build the Foundation 🥗 Diet Add one vegetable or fruit to every meal (don't restrict anything yet) Drink a glass of water when you wake up each morning 🏃 Exercise Take a 10–15 minute walk daily (same time each day builds the habit) Do 2 sets of 5 squats and 10 wall…
Read the full answer
Qwen3.5 35B A3B588 words
The 1-Month Longevity Kickstart Plan Core Philosophy: Consistency beats intensity. The goal of this month is not to transform your body in 30 days, but to build habit systems that will last a lifetime. The 3 Key Pillars Nutrition: Focus on nutrient density and hydration.
Read the full answer

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 5.3 FlashX172 words
Golden Honey Garlic Chickpea Crunch A crispy, sweet-savory skillet dish that works as a snack, side, or topping for rice. Ingredients (7): 1 can chickpeas (drained, patted dry) 3 tbsp honey 3 tbsp soy sauce 3 cloves garlic (minced) 2 tbsp olive oil ½ tsp red pepper flakes 2 tbsp sesame seeds (or crushed peanuts) Prep…
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Qwen3.5 35B A3B250 words
Golden Satay Spaghetti A creamy, savory-sweet noodle dish that comes together in one pan. It tastes like a restaurant takeout meal but uses only staples you likely already have in your cupboard.
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 5.3 FlashX1,267 words
The Skeptical Software Engineer Yes, at inference time an LLM really is just "predict the next token, repeat" — a deterministic function (plus sampling noise) that maps a sequence of tokens to a probability distribution.
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Qwen3.5 35B A3B695 words
For the Experienced Software Engineer You’re right to be skeptical of the "next token" description; it sounds trivial compared to the complexity of building a fault-tolerant distributed system. Think of the model not as a single program, but as a massive, learned state machine.
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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 5.3 FlashX1,306 words
Architecture Review: Real-Time Collaborative Editor This architecture has fundamental flaws that would break core functionality, plus scalability issues. Let me go from critical to scaling concerns.
Read the full answer
Qwen3.5 35B A3B1,305 words
This architecture contains several critical flaws that would lead to data loss, poor user experience, and security vulnerabilities in a production environment. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with proposed solutions and their trade-offs.
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Our Verdict
GLM 5.3 FlashX
GLM 5.3 FlashX
Qwen3.5 35B A3B
Qwen3.5 35B A3BRunner-up

Not enough votes to call it. On the specs, GLM 5.3 FlashX has the edge: bigger model tier, newer, bigger context window, major provider backing.

Slight edge
API pricing

Cost per 1M tokens

GLM 5.3 FlashX
Input
$0.37
Output
$1.25
1.6× cheaper
Qwen3.5 35B A3B
Input
$0.25
1.5× cheaper
Output
$2.00

Qwen3.5 35B A3B wins input (1.5× cheaper)·GLM 5.3 FlashX wins output (1.6× cheaper)

Where to run it

8 hosts, cheapest first

GLM 5.3 FlashX1 host
HostInOutContextUptime
Z.aifp8$0.37 in·$1.25 out·1M·100% up
Qwen3.5 35B A3B7 hosts
HostInOutContextUptime
DDarkbloomfp4$0.08 in·$0.75 out·262k·99.9% upDDeepInfrafp8$0.14 in·$1.00 out·262k·100% upPParasailfp8$0.15 in·$1.00 out·262k·100% upAlibaba Cloud$0.16 in·$1.30 out·262k·99.9% upAAtlasCloudfp8$0.23 in·$1.80 out·262k·98% upSSiliconFlowfp8$0.24 in·$1.80 out·262k·27.5% up
1 more hostFewer hosts
VVenice$0.31 in·$1.25 out·256k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 FlashX is developed by Zhipu AI while Qwen3.5 35B A3B is developed by Qwen. GLM 5.3 FlashX has a 1.0M token context window vs Qwen3.5 35B A3B's 262K. You can compare their actual outputs across 12 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.3 FlashX and Qwen3.5 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 12 challenges so you can judge which fits your needs best.

GLM 5.3 FlashX costs $0.37/M input tokens and Qwen3.5 35B A3B costs $0.25/M input tokens. Qwen3.5 35B A3B is $0.12/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 5.3 FlashX and Qwen3.5 35B A3B 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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Qwen3.5 35B A3B53 outputs, specs and price
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