Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. DeepSeek V3.2vsGLM 5.3 FlashX
Updated Sep 2026

DeepSeek V3.2vsGLM 5.3 FlashX

DeepSeek V3.2 is cheaper than GLM 5.3 FlashX at $0.28/M vs $0.37/M input tokens.

DeepSeek V3.2 and GLM 5.3 FlashX compared across 12 shared prompts
SpecDeepSeek V3.2GLM 5.3 FlashX
Input price$0.28/M tokens$0.37/M tokens
Output price$0.42/M tokens$1.25/M tokens
Context window131K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedDec 2025Sep 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…

DeepSeek V3.2609 words
Hour 0–4 (Immediate Actions) Secure all data Direct the research team to compile the complete dataset, methodology, and evidence into a confidential briefing document. Ensure legal counsel reviews it for attorney-client privilege where applicable.
Read the full answer
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

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…

DeepSeek V3.2171 words
Honey-Lemon Glazed Carrot Coins Sweet, tangy, and simple—perfect as a side dish or snack! Ingredients: 4 large carrots (peeled and sliced into 1/4-inch coins) 2 tablespoons olive oil 2 tablespoons honey 1 tablespoon lemon juice 1/4 teaspoon salt 1/4 teaspoon black pepper 1 teaspoon dried thyme (optional, for extra…
Read the full answer
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…
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…

DeepSeek V3.21,224 words
Excellent question. Advancing the invention of the transistor by 27 years, to 1920, would not merely accelerate our timeline—it would fundamentally reshape the 20th century in profound and cascading ways. Here is a trace of the likely implications through 1980.
Read the full answer
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

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.…

DeepSeek V3.2611 words
Excellent pitch deck summary — it’s concise and hits key points, but several claims stretch credibility and would raise red flags for experienced investors. Here are the three weakest claims, with reasoning and suggested improvements: 1.
Read the full answer
GLM 5.3 FlashX695 words
Critique of MindMeld AI Pitch: 3 Weakest Claims "94% accuracy" for thought-to-text decoding (Slide 3) Why it's weak: This claim contradicts the current scientific state of the art. EEG-based decoding (a non-invasive signal measured through the skull) produces extremely noisy data.
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…

DeepSeek V3.2895 words
1. For the Experienced Software Engineer Think of a large language model as the ultimate compression algorithm for human knowledge and communication patterns, built via a statistical learning process rather than explicit code.
Read the full answer
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.
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…

DeepSeek V3.2517 words
Here’s a simple, actionable 1-month plan focused on diet, exercise, and sleep to kickstart your journey toward better health and longevity: Week 1: Build Foundations Diet Start with hydration: Drink 2 liters of water daily. Carry a water bottle to track intake.
Read the full answer
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
Our Verdict
GLM 5.3 FlashX
GLM 5.3 FlashX
DeepSeek V3.2
DeepSeek V3.2Runner-up

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

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
1.3× cheaper
Output
$0.42
3.0× cheaper
GLM 5.3 FlashX
Input
$0.37
Output
$1.25

DeepSeek V3.2 is cheaper on both: 1.3× input, 3.0× output.

Where to run it

16 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.6% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.5% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.5% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·96.7% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.3% upVVenice$0.27 in·$0.39 out·160k·98.9% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·99% upDDigitalOcean$0.30 in·$0.96 out·164k·99.2% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·98.6% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.2% upPPhala$1.00 in·$1.00 out·164k·99.3% upMMara$3.00 in·$4.50 out·33k·91.3% upSSambaNova$3.00 in·$4.50 out·33k·96.8% up
GLM 5.3 FlashX1 host
HostInOutContextUptime
Z.aifp8$0.37 in·$1.25 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

DeepSeek V3.2 is developed by DeepSeek while GLM 5.3 FlashX is developed by Zhipu AI. DeepSeek V3.2 has a 131K token context window vs GLM 5.3 FlashX's 1.0M. You can compare their actual outputs across 12 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V3.2 and GLM 5.3 FlashX 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.

DeepSeek V3.2 costs $0.28/M input tokens and GLM 5.3 FlashX costs $0.37/M input tokens. DeepSeek V3.2 is $0.09/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 DeepSeek V3.2 and GLM 5.3 FlashX 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.

Keep exploring

More comparisons

Against the newest arrivals

DeepSeek V3.2 logoDeepSeek V4 Flash Vision Exp logo
DeepSeek V3.2 vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
GLM 5.3 FlashX logoSolar Pro 4 logo
GLM 5.3 FlashX vs Solar Pro 4Landed Sep 2026
DeepSeek V3.2 logoHy3 logo
DeepSeek V3.2 vs Hy3Landed Sep 2026
GLM 5.3 FlashX logoQwen3.7 Flash logo
GLM 5.3 FlashX vs Qwen3.7 FlashLanded Sep 2026
DeepSeek V3.2 logoLing 3.0 Flash logo
DeepSeek V3.2 vs Ling 3.0 FlashLanded Sep 2026
GLM 5.3 FlashX logoMuse Glimmer 30B logo
GLM 5.3 FlashX vs Muse Glimmer 30BLanded Sep 2026
DeepSeek V3.2 logoGLM 5.3 logo
DeepSeek V3.2 vs GLM 5.3Landed Sep 2026
GLM 5.3 FlashX logoTernary Bonsai 2 27B logo
GLM 5.3 FlashX vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

DeepSeek V3.2 logoDeepSeek V4.1 Flash logo
DeepSeek V3.2 vs DeepSeek V4.1 FlashSame lab
DeepSeek V3.2 logoDeepSeek V4 Pro 0813 logo
DeepSeek V3.2 vs DeepSeek V4 Pro 0813Same lab
GLM 5.3 FlashX logoGLM 5.3 logo
GLM 5.3 FlashX vs GLM 5.3Same lab
GLM 5.3 FlashX logoGLM 5.3 Flash logo
GLM 5.3 FlashX vs GLM 5.3 FlashSame lab
GLM 5.3 FlashX logoSherlock Think Alpha logo
GLM 5.3 FlashX vs Sherlock Think AlphaNew provider
GLM 5.3 FlashX logoSolar Pro 3 logo
GLM 5.3 FlashX vs Solar Pro 3Same size
DeepSeek V3.2 logoSolar Pro 4 logo
DeepSeek V3.2 vs Solar Pro 4Same size
GLM 5.3 FlashX logoSonar Pro Search logo
GLM 5.3 FlashX vs Sonar Pro SearchSame size

Model pages

DeepSeek V3.2 logo
DeepSeek V3.259 outputs, specs and price
GLM 5.3 FlashX logo
GLM 5.3 FlashX12 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed