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. Claude Sonnet 4.6vsGLM 5.3 Flash
Updated Aug 2026

Claude Sonnet 4.6vsGLM 5.3 Flash

GLM 5.3 Flash is cheaper than Claude Sonnet 4.6 at $0.15/M vs $3/M input tokens.

Claude Sonnet 4.6 and GLM 5.3 Flash compared across 15 shared prompts
SpecClaude Sonnet 4.6GLM 5.3 Flash
Input price$3/M tokens$0.15/M tokens
Output price$15/M tokens$0.5/M tokens
Context window1.0M tokens1.3M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 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…

Claude Sonnet 4.66,173 words
The Transistor at 1920: A Speculative History Methodological Note First This is a serious analytical exercise, not science fiction. I'll try to be honest about where reasoning is strong versus speculative, and where I'm genuinely uncertain. The goal is to trace mechanisms, not just assert outcomes.
Read the full answer
GLM 5.3 Flash1,314 words
Counterfactual: The Transistor in 1920 Preliminary Framing A 1920 transistor presumes vacuum-tube-era physics knowledge outpacing reality—quantum mechanics wasn't mature until 1926–28, so a working device would likely be an empirical oddity (like the actual point-contact transistor) imperfectly understood.
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…

Claude Sonnet 4.62,765 words
48-Hour Action Plan: Patient Safety Crisis Response Framing the Decision Before the Clock Starts Let me be direct about something the three board members need to hear: this is not a business decision with ethical dimensions. It is an ethical decision with business dimensions.
Read the full answer
GLM 5.3 Flash1,321 words
48-Hour Action Plan: Liver Failure Signal in Flagship Drug Guiding Principle First The side effect is real, the drug is in 4 million patients, and roughly 500 patients per year may develop liver failure (4M ÷ 8,000). Every day of delay is measured in preventable liver transplants and deaths.
Read the full answer

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Claude Sonnet 4.61,614 words
HarborTech Services (HTS) – LBO Underwriting Analysis SECTION 0: ENTRY CAPITALIZATION Enterprise Value at Entry: EV = 12.0x × $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m (funded by equity) Debt at Close: Tranche Multiple Amount Term Loan 4.0x × $120m $480m Mezzanine 1.5x × $120m $180m Total Debt 5.5x…
Read the full answer
GLM 5.3 Flash518 words
HarborTech Services — 5-Year LBO Summary Entry Math EV = 12.0x × $120m = $1,440.0m; Fees (2%) = $28.8m; Total uses = $1,468.8m Debt: TL = 4.0x × 120 = $480.0m; Mezz = 1.5x × 120 = $180.0m; Total = $660.0m (5.5x) Sponsor equity = $808.8m Base Case Projection ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,039.7 1,102.1…
Read the full answer

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Claude Sonnet 4.63,507 words
"Tidal Memory" A Meditation on the Meeting of Land and Sea CONCEPTUAL NARRATIVE This dish was born from a single image: the precise moment at low tide when a rocky coastline exhales — releasing the mineral breath of the ocean while the surrounding pine forest absorbs it.
Read the full answer
GLM 5.3 Flash720 words
"Ember & Tide" — Charred Banana Peel Consommé with Sea Urchin, Hay-Smoked Foie Gras, and Black Garlic Beurre Blanc Conceptual Narrative This dish explores the dialogue between decay and luxury — ingredients usually discarded (banana peels, hay stalks) elevated alongside opulent ones (uni, foie gras).
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…

Claude Sonnet 4.61,375 words
For the Experienced Software Engineer You're right to be skeptical of "predicting the next word" as a description — that framing makes it sound like autocomplete on steroids, which undersells what's actually happening architecturally.
Read the full answer
GLM 5.3 Flash1,276 words
The Experienced Software Engineer You know how a load balancer routes requests, how a cache stores frequently-accessed data, how a database index lets you find a needle without scanning the haystack? An LLM is a fundamentally different kind of system: it's a learned lookup, not a designed one.
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…

Claude Sonnet 4.6189 words
Golden Honey Garlic Noodles 🍜 Ingredients (exactly 7) Spaghetti Butter Garlic Soy sauce Honey Red pepper flakes Olive oil Instructions Prep time: 5 minutes Cook time: 15 minutes Total: 20 minutes Step 1 — Cook the pasta Boil spaghetti in salted water until al dente. Before draining, save ½ cup of pasta water.
Read the full answer
GLM 5.3 Flash205 words
Golden Hour Garlic Butter Pasta A silky, savory pasta that comes together faster than delivery! Ingredients (serves 2): 8 oz spaghetti or any pasta 4 tbsp butter 4 cloves garlic, minced (or 1 tsp garlic powder) ½ cup grated Parmesan cheese ½ cup pasta water (reserved) 1 tsp red pepper flakes Salt Prep time: 5 minutes…
Read the full answer
Our Verdict
Claude Sonnet 4.6
Claude Sonnet 4.6
GLM 5.3 Flash
GLM 5.3 Flash

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

GLM 5.3 Flash costs 30x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Sonnet 4.6
Input
$3.00
Output
$15.00
GLM 5.3 Flash
Input
$0.15
20× cheaper
Output
$0.50
30× cheaper

GLM 5.3 Flash is cheaper on both: 20× input, 30× output.

Where to run it

33 hosts, cheapest first

Claude Sonnet 4.64 hosts
HostInOutContextUptime
Amazon Bedrock$3.00 in·$15.00 out·1M·99.9% upAzure AI Foundry$3.00 in·$15.00 out·1M·94.8% upAnthropic$3.00 in·$15.00 out·1M·100% upGoogle Vertex AI$3.00 in·$15.00 out·1M·100% up
GLM 5.3 Flash29 hosts
HostInOutContextUptime
DDeepInfrafp4$0.07 in·$0.25 out·1M·99% upIInferenceNetfp4$0.09 in·$0.28 out·1M·97.8% upGGMI Cloudfp8$0.09 in·$0.30 out·1M·99.2% upWWafer$0.10 in·$0.35 out·1M·99.8% upRRelace$0.10 in·$0.36 out·1M·99.9% upOOpenInferencefp4$0.10 in·$0.50 out·1M·99.2% up
23 more hostsFewer hosts
PPhalafp8$0.13 in·$0.42 out·1M·99.6% upNNovitafp8$0.13 in·$0.44 out·1M·99.5% upSStreamLakefp8$0.14 in·$0.47 out·1M·99.1% upAAtlasCloudfp8$0.15 in·$0.50 out·1M·99.4% upBBasetenfp8$0.15 in·$0.50 out·1M·98.8% upCCoreWeavenvfp4$0.15 in·$0.50 out·1M·99.6% upDDigitalOcean$0.15 in·$0.50 out·1M·95.2% upFFireworks$0.15 in·$0.50 out·1M·99% upFFriendli$0.15 in·$0.50 out·1M·98.6% upIInceptronfp8$0.15 in·$0.50 out·1M·98.5% upIio.netfp8$0.15 in·$0.50 out·262k·99.1% upNNear AIfp8$0.15 in·$0.50 out·1M·99.1% upPParasailfp8$0.15 in·$0.50 out·1M·98.7% upRRekafp8$0.15 in·$0.50 out·262k·99% upSSiliconFlowfp8$0.15 in·$0.50 out·1M·99.7% upTTogether$0.15 in·$0.50 out·1M·99.6% upVVenice$0.15 in·$0.50 out·1M·99.1% upZ.aifp8$0.15 in·$0.50 out·1M·96.2% upNNextBitfp8$0.18 in·$0.60 out·1M·97.9% upModalfp8$0.45 in·$1.50 out·1M·99.6% upMMorphdegraded$0.08 in·$0.28 out·1M·95.9% upCCrusoefp4degraded$0.15 in·$0.50 out·1M·93% upCloudflare Workers AIdegraded$0.30 in·$1.00 out·1.3M·99.6% up

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

Research

What we learned reading every model

FAQ

Common questions

Claude Sonnet 4.6 is developed by Anthropic while GLM 5.3 Flash is developed by Zhipu AI. Claude Sonnet 4.6 has a 1.0M token context window vs GLM 5.3 Flash's 1.3M. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude Sonnet 4.6 and GLM 5.3 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

Claude Sonnet 4.6 costs $3/M input tokens and GLM 5.3 Flash costs $0.15/M input tokens. GLM 5.3 Flash is $2.85/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 Claude Sonnet 4.6 and GLM 5.3 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.

Keep exploring

More comparisons

Against the newest arrivals

Claude Sonnet 4.6 logoDeepSeek V4 Flash Vision Exp logo
Claude Sonnet 4.6 vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
GLM 5.3 Flash logoSolar Pro 4 logo
GLM 5.3 Flash vs Solar Pro 4Landed Sep 2026
Claude Sonnet 4.6 logoHy3 logo
Claude Sonnet 4.6 vs Hy3Landed Sep 2026
GLM 5.3 Flash logoQwen3.7 Flash logo
GLM 5.3 Flash vs Qwen3.7 FlashLanded Sep 2026
Claude Sonnet 4.6 logoLing 3.0 Flash logo
Claude Sonnet 4.6 vs Ling 3.0 FlashLanded Sep 2026
GLM 5.3 Flash logoMuse Glimmer 30B logo
GLM 5.3 Flash vs Muse Glimmer 30BLanded Sep 2026
Claude Sonnet 4.6 logoGLM 5.3 logo
Claude Sonnet 4.6 vs GLM 5.3Landed Sep 2026
GLM 5.3 Flash logoTernary Bonsai 2 27B logo
GLM 5.3 Flash vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

Claude Sonnet 4.6 logoClaude Opus 4.6 logo
Claude Sonnet 4.6 vs Claude Opus 4.6Version compare
Claude Sonnet 4.6 logoClaude Fable 5.1 logo
Claude Sonnet 4.6 vs Claude Fable 5.1Same lab
GLM 5.3 Flash logoGLM 5.3 logo
GLM 5.3 Flash vs GLM 5.3Same lab
GLM 5.3 Flash logoGLM 5.3 FlashX logo
GLM 5.3 Flash vs GLM 5.3 FlashXSame lab
GLM 5.3 Flash logoGemini 2.5 Flash Preview 09-2025 logo
GLM 5.3 Flash vs Gemini 2.5 Flash Preview 09-2025New provider
GLM 5.3 Flash logoGemini 2.5 Flash Preview (thinking) logo
GLM 5.3 Flash vs Gemini 2.5 Flash Preview (thinking)New provider
Claude Sonnet 4.6 logoGemini 2.5 Pro Experimental logo
Claude Sonnet 4.6 vs Gemini 2.5 Pro ExperimentalNew provider
GLM 5.3 Flash logoGemini 2.5 Pro (I/O Edition) logo
GLM 5.3 Flash vs Gemini 2.5 Pro (I/O Edition)New provider

Model pages

Claude Sonnet 4.6 logo
Claude Sonnet 4.653 outputs, specs and price
GLM 5.3 Flash logo
GLM 5.3 Flash15 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