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 3.7 SonnetvsGLM 5.3
Updated Aug 2026

Claude 3.7 SonnetvsGLM 5.3

GLM 5.3 is cheaper than Claude 3.7 Sonnet at $0.6538/M vs $3/M input tokens.

Claude 3.7 Sonnet and GLM 5.3 compared across 13 shared prompts
SpecClaude 3.7 SonnetGLM 5.3
Input price$3/M tokens$0.6538/M tokens
Output price$15/M tokens$2.0548/M tokens
Context window200K tokens1.3M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedFeb 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 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 3.7 Sonnet760 words
The Transistor in 1920: An Alternative Technological History Immediate Technical Impact (1920-1939) Had the transistor been invented in 1920 instead of 1947, its initial development would have occurred during a very different technological context: Early Adoption: Radio technology, still in its infancy, would rapidly…
Read the full answer
GLM 5.31,346 words
If the Transistor Had Arrived in 1920 The Premise: Why 1920 Was Nearly Impossible Before tracing effects, note the counterfactual requires heroic assumptions. The transistor depended on quantum mechanics (solid-state band theory, ~1928-1933), ultrapure semiconductor materials (zone refining, 1950s), and wartime radar…
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…

Claude 3.7 Sonnet472 words
Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.
Read the full answer
GLM 5.31,311 words
Architecture Review: Real-Time Collaborative Editor This design has serious issues across correctness, performance, and security. Let me break them down by severity. 🔴 Critical: Correctness / Data Loss Client-clock-based Last-Write-Wins (LWW) Problem: Client clocks are unreliable (skew, manual changes, timezone bugs).
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 3.7 Sonnet694 words
48-Hour Action Plan: Pharmaceutical Safety Crisis Hour 1-2: Initial Assessment and Command Center Immediately establish a crisis management command center with key executives (Chief Medical Officer, Chief Legal Officer, Chief Communications Officer, Chief Regulatory Officer) Review the complete internal research…
Read the full answer
GLM 5.31,143 words
The Core Decision (Made Before Hour 1) The side effect is real, serious, and known to me now. Patients are currently taking this drug without informed consent about a ~1-in-8,000 liver failure risk. Everything else — stock price, board pressure, legal exposure — is secondary.
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 3.7 Sonnet721 words
LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.
Read the full answer
GLM 5.31,164 words
The Software Engineer You've probably written autocomplete logic before, so you're right to be skeptical of the naive version: a Markov chain that looks up "what usually comes after 'the'" is trivially dumb.
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.…

Claude 3.7 Sonnet415 words
Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.
Read the full answer
GLM 5.3585 words
3 Weakest Claims in the MindMeld AI Pitch "Reads your brainwaves to predict what you want to type before you think it" Why it's weak: This claim is neurologically incoherent. EEG sensors detect electrical activity on the scalp after neural firing occurs — you cannot decode intent "before" the brain generates it.
Read the full answer

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Claude 3.7 Sonnet1,348 words
Advanced 3-Month Biohacking Longevity Protocol Overview This comprehensive longevity optimization protocol integrates cutting-edge interventions across multiple domains to enhance healthspan, cognitive performance, and physical vitality.
Read the full answer
GLM 5.3851 words
3-Month Advanced Longevity & Performance Optimization Protocol Note: This is an educational framework. Get baseline bloodwork and consult a physician before starting supplements/fasting, especially with any medical conditions or medications.
Read the full answer
Our Verdict
GLM 5.3
GLM 5.3
Claude 3.7 Sonnet
Claude 3.7 SonnetRunner-up

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

GLM 5.3 costs 7.3x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude 3.7 Sonnet
Input
$3.00
Output
$15.00
GLM 5.3
Input
$0.65
4.6× cheaper
Output
$2.05
7.3× cheaper

GLM 5.3 is cheaper on both: 4.6× input, 7.3× output.

Where to run it

30 hosts, cheapest first

Claude 3.7 Sonnet

No hosts listed on OpenRouter.

GLM 5.330 hosts
HostInOutContextUptime
DDeepInfrafp4$0.56 in·$2.50 out·1M·97.1% upMMorph$0.71 in·$2.24 out·1M·99.7% upRRekafp8$0.76 in·$2.57 out·262k·99.4% upSSail Researchfp8$0.77 in·$4.00 out·1M·99.8% upNNovitafp8$0.78 in·$2.46 out·1M·99.9% upIio.netfp8$0.82 in·$2.77 out·262k·99.8% up
24 more hostsFewer hosts
PPhala$0.84 in·$2.64 out·1M·99.4% upIInferenceNetfp4$0.90 in·$3.00 out·1M·98.2% upDDigitalOcean$0.91 in·$2.86 out·1M·99.7% upGGMI Cloudfp8$0.98 in·$3.08 out·1M·99.5% upIInceptronfp4$1.03 in·$3.73 out·1M·99.4% upMMakorafp4$1.05 in·$4.20 out·980k·97.1% upSSiliconFlowfp8$1.12 in·$3.52 out·1M·99.8% upDDecartfp4$1.19 in·$3.74 out·1M·99.2% upFFriendli$1.26 in·$3.96 out·1M·100% upAAkashMLfp8$1.30 in·$4.40 out·1M·100% upAAtlasCloudfp8$1.40 in·$4.40 out·1M·99.4% upBaidu Qianfanfp8$1.40 in·$4.40 out·1M·99.8% upBBasetenfp4$1.40 in·$4.40 out·1M·99.8% upCloudflare Workers AI$1.40 in·$4.40 out·1.3M·98.9% upCCrusoefp4$1.40 in·$4.40 out·1M·98.9% upFFireworks$1.40 in·$4.40 out·1M·99.5% upMistralnvfp4$1.40 in·$4.40 out·1M·99.4% upModal$1.40 in·$4.40 out·1M·99.1% upPParasailfp8$1.40 in·$4.40 out·1M·99.2% upTTogether$1.40 in·$4.40 out·1M·98.1% upVVenice$1.40 in·$4.40 out·1M·98.5% upWWafer$1.40 in·$4.40 out·1M·99.9% upZ.aifp8$1.40 in·$4.40 out·1M·99.9% upAlibaba Clouddegraded$1.19 in·$3.74 out·1M·99.5% up

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

Research

What we learned reading every model

FAQ

Common questions

Claude 3.7 Sonnet is developed by Anthropic while GLM 5.3 is developed by Zhipu AI. Claude 3.7 Sonnet has a 200K token context window vs GLM 5.3's 1.3M. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude 3.7 Sonnet and GLM 5.3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

Claude 3.7 Sonnet costs $3/M input tokens and GLM 5.3 costs $0.6538/M input tokens. GLM 5.3 is $2.35/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 3.7 Sonnet and GLM 5.3 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 3.7 Sonnet logoDeepSeek V4 Flash Vision Exp logo
Claude 3.7 Sonnet vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
GLM 5.3 logoSolar Pro 4 logo
GLM 5.3 vs Solar Pro 4Landed Sep 2026
Claude 3.7 Sonnet logoHy3 logo
Claude 3.7 Sonnet vs Hy3Landed Sep 2026
GLM 5.3 logoQwen3.7 Flash logo
GLM 5.3 vs Qwen3.7 FlashLanded Sep 2026
Claude 3.7 Sonnet logoLing 3.0 Flash logo
Claude 3.7 Sonnet vs Ling 3.0 FlashLanded Sep 2026
GLM 5.3 logoMuse Glimmer 30B logo
GLM 5.3 vs Muse Glimmer 30BLanded Sep 2026
Claude 3.7 Sonnet logoTernary Bonsai 2 27B logo
Claude 3.7 Sonnet vs Ternary Bonsai 2 27BLanded Sep 2026
GLM 5.3 logoGLM 5.3 Flash logo
GLM 5.3 vs GLM 5.3 FlashLanded Sep 2026

Same lab, same size, long tail

Claude 3.7 Sonnet logoClaude 3.7 Thinking Sonnet logo
Claude 3.7 Sonnet vs Claude 3.7 Thinking SonnetVersion compare
Claude 3.7 Sonnet logoClaude Opus 4.6 logo
Claude 3.7 Sonnet vs Claude Opus 4.6Version compare
GLM 5.3 logoGLM 5.3 FlashX logo
GLM 5.3 vs GLM 5.3 FlashXSame lab
GLM 5.3 logoGLM 5.2 logo
GLM 5.3 vs GLM 5.2Same lab
GLM 5.3 logoClaude Opus 4 logo
GLM 5.3 vs Claude Opus 4Cross-provider
GLM 5.3 logoClaude Opus 4.1 logo
GLM 5.3 vs Claude Opus 4.1Cross-provider
GLM 5.3 logoClaude Opus 4.5 logo
GLM 5.3 vs Claude Opus 4.5Cross-provider
GLM 5.3 logoClaude Opus 4.6 logo
GLM 5.3 vs Claude Opus 4.6Cross-provider

Model pages

Claude 3.7 Sonnet logo
Claude 3.7 Sonnet60 outputs, specs and price
GLM 5.3 logo
GLM 5.313 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