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. GLM 5.3 FlashXvsKimi K3
Updated Sep 2026

GLM 5.3 FlashXvsKimi K3

GLM 5.3 FlashX is cheaper than Kimi K3 at $0.37/M vs $3/M input tokens.

GLM 5.3 FlashX and Kimi K3 compared across 12 shared prompts
SpecGLM 5.3 FlashXKimi K3
Input price$0.37/M tokens$3/M tokens
Output price$1.25/M tokens$15/M tokens
Context window1.0M tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
Side by side

Same prompt, both answers

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

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
Kimi K32,513 words
First, a caveat that shapes everything A 1920 transistor is a bigger counterfactual than it appears. The 1947 invention waited on quantum mechanics (band theory, 1928–31), ultra-pure germanium, and controlled doping.
Read the full answer

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
Kimi K31,542 words
Architecture Review: Collaborative Document Editor Overall assessment: The load-bearing problem is the sync layer — client-clock LWW + 2-second cross-server polling guarantees data loss and divergence under normal use.
Read the full answer

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
Kimi K31,296 words
The Decision First I'm disclosing. Not because I'm choosing ethics over shareholder value, but because concealment is the value-destroying path on every axis — legal, financial, and human.
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
Kimi K3356 words
Your First Month: A Simple Health Foundation Golden rule: Don't change everything at once. Each week, layer in small habits across three areas. Consistency beats intensity every time.
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…
Read the full answer
Kimi K3229 words
🌅 Golden Hour Garlic Butter Rice A crispy, buttery, savory rice bowl topped with a silky egg — comfort food that tastes like it took way more effort than it did.
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.…

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
Kimi K3785 words
The 3 Weakest Claims in MindMeld AI's Pitch "94% accuracy decoding neural patterns into text... any language" (Slide 3) Why it's weak: This claim exceeds the published state of the art — including invasive systems — by a wide margin.
Read the full answer
Our Verdict
GLM 5.3 FlashX
GLM 5.3 FlashX
Kimi K3
Kimi K3

Not enough votes to call it. On the specs, nothing separates them.

GLM 5.3 FlashX costs 12x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3 FlashX
Input
$0.37
8.1× cheaper
Output
$1.25
12× cheaper
Kimi K3
Input
$3.00
Output
$15.00

GLM 5.3 FlashX is cheaper on both: 8.1× input, 12× output.

Where to run it

18 hosts, cheapest first

GLM 5.3 FlashX1 host
HostInOutContextUptime
Z.aifp8$0.37 in·$1.25 out·1M·100% up
Kimi K317 hosts
HostInOutContextUptime
SSail Researchfp4$0.88 in·$10.53 out·1M·99.3% upIInferenceNetfp4$1.30 in·$11.40 out·1M·99.8% upWWafer$1.99 in·$15.00 out·1M·98.8% upMMakora$2.04 in·$12.75 out·1M·98.1% upPPhala$2.10 in·$10.50 out·1M·99% upRRelacefp4$2.10 in·$10.50 out·1M·98.1% up
11 more hostsFewer hosts
MMorph$2.50 in·$14.00 out·1M·99.6% upDDigitalOcean$2.55 in·$12.95 out·1M·98.7% upDDeepInfrabf16$2.85 in·$14.25 out·1M·96.6% upBBasetenfp8$3.00 in·$15.00 out·1M·98.8% upCChutesmxfp4$3.00 in·$15.00 out·1M·95.9% upFFireworks$3.00 in·$15.00 out·1M·99.9% upModalmxfp4$3.00 in·$15.00 out·1M·99.8% upMoonshot AImxfp4$3.00 in·$15.00 out·1M·99.9% upPParasailfp4$3.00 in·$15.00 out·1M·98.9% upTTogether$3.00 in·$15.00 out·1M·99.2% upAlibaba Cloud$3.45 in·$17.25 out·1M·99.3% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 FlashX is developed by Zhipu AI while Kimi K3 is developed by Moonshot AI. GLM 5.3 FlashX has a 1.0M token context window vs Kimi K3'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. GLM 5.3 FlashX and Kimi K3 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 Kimi K3 costs $3/M input tokens. GLM 5.3 FlashX is $2.63/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 Kimi K3 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

GLM 5.3 FlashX logoSolar Mini 4 logo
GLM 5.3 FlashX vs Solar Mini 4Landed Sep 2026
Kimi K3 logoQwen3.8 Max Prime logo
Kimi K3 vs Qwen3.8 Max PrimeLanded Sep 2026
GLM 5.3 FlashX logoGLM 5.3 Prime logo
GLM 5.3 FlashX vs GLM 5.3 PrimeLanded Sep 2026
Kimi K3 logoQwen3.8 Omni Flash logo
Kimi K3 vs Qwen3.8 Omni FlashLanded Sep 2026
GLM 5.3 FlashX logoCommand A+ logo
GLM 5.3 FlashX vs Command A+Landed Sep 2026
Kimi K3 logoClaude Opus 5.5 logo
Kimi K3 vs Claude Opus 5.5Landed Sep 2026
GLM 5.3 FlashX logoGPT-6 Luna Pro logo
GLM 5.3 FlashX vs GPT-6 Luna ProLanded Sep 2026
Kimi K3 logoGPT-6 Sol Pro logo
Kimi K3 vs GPT-6 Sol ProLanded Sep 2026

Same lab, same size, long tail

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
Kimi K3 logoKimi K2.7 Code logo
Kimi K3 vs Kimi K2.7 CodeSame lab
Kimi K3 logoKimi K2 logo
Kimi K3 vs Kimi K2Same lab
GLM 5.3 FlashX logoAndromeda Alpha logo
GLM 5.3 FlashX vs Andromeda AlphaNew provider
GLM 5.3 FlashX logoAurora Alpha logo
GLM 5.3 FlashX vs Aurora AlphaSame size
GLM 5.3 FlashX logoBert-Nebulon Alpha logo
GLM 5.3 FlashX vs Bert-Nebulon AlphaSame size
GLM 5.3 FlashX logoChatGPT-4o (March 2025) logo
GLM 5.3 FlashX vs ChatGPT-4o (March 2025)New provider

Model pages

GLM 5.3 FlashX logo
GLM 5.3 FlashX12 outputs, specs and price
Kimi K3 logo
Kimi K358 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