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  5. Claude Haiku 4.5vsGLM 5.3
Updated Aug 2026

Claude Haiku 4.5vsGLM 5.3

GLM 5.3 is cheaper than Claude Haiku 4.5 at $0.6538/M vs $1/M input tokens.

Claude Haiku 4.5 and GLM 5.3 compared across 13 shared prompts
SpecClaude Haiku 4.5GLM 5.3
Input price$1/M tokens$0.6538/M tokens
Output price$5/M tokens$2.0548/M tokens
Context window200K tokens1.3M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedOct 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 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…

Claude Haiku 4.51,667 words
48-Hour Action Plan: Immediate Response Framework I'll be direct: waiting is not a viable option, despite financial pressure. Here's why, then the plan. The Core Reality Check 1 in 8,000 over 5 years = ~500 patients already affected among current users Regulatory agencies will find this (FDA receives adverse event…
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

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Claude Haiku 4.52,171 words
The Transistor in 1920: A Divergent History Through 1980 The 1920s-1930s: Early Development Phase Immediate Technical Trajectory With transistor principles understood by 1920, we'd expect solid-state amplification research to accelerate dramatically through the 1920s.
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

Advanced Longevity Plan (Biohacker)

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

Claude Haiku 4.56,117 words
Comprehensive 3-Month Longevity Optimization Plan TABLE OF CONTENTS Foundation & Assessment Nutritional Architecture Supplement Stack Protocol Exercise & Movement System Recovery & Sleep Optimization Stress Resilience & Cognitive Enhancement Tracking & Biofeedback Implementation Timeline Monthly Progression…
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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

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 Haiku 4.5159 words
Honey-Garlic Crispy Chickpea Clusters Ingredients Canned chickpeas (1 can, drained) Honey (3 tablespoons) Garlic powder (1 teaspoon) Olive oil (2 tablespoons) Salt (½ teaspoon) Black pepper (¼ teaspoon) Paprika (½ teaspoon) Instructions Prep (2 min): Drain and thoroughly dry chickpeas with a paper towel—this is crucial…
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GLM 5.3210 words
Golden Pantry Fried Rice Total Time: 20 minutes (5 min prep, 15 min cook) Ingredients (7 pantry staples) Cooked white rice (day-old is best) Eggs Soy sauce Garlic (minced or garlic powder) Frozen peas and carrots Canned corn Vegetable oil Instructions Prep (5 min): Break up cold rice with a fork. Drain the corn.
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 Haiku 4.5826 words
Three Explanations of LLM Learning and Generation The Software Engineer You know how you build APIs by defining contracts—input shapes, output shapes, and rules for transformation? LLMs work similarly, except the "rules" aren't hand-coded; they're learned from data.
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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.
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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…

Claude Haiku 4.51,373 words
Critical Analysis: Real-Time Collaborative Editor Architecture 🔴 CRITICAL ISSUES Split-Brain Synchronization Between Servers Problem: Clients connected to different servers can't see each other's changes in real-time.
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).
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Our Verdict
GLM 5.3
GLM 5.3
Claude Haiku 4.5
Claude Haiku 4.5Runner-up

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

Too close to call
API pricing

Cost per 1M tokens

Claude Haiku 4.5
Input
$1.00
Output
$5.00
GLM 5.3
Input
$0.65
1.5× cheaper
Output
$2.05
2.4× cheaper

GLM 5.3 is cheaper on both: 1.5× input, 2.4× output.

Where to run it

34 hosts, cheapest first

Claude Haiku 4.54 hosts
HostInOutContextUptime
Amazon Bedrock$1.00 in·$5.00 out·200k·100% upAnthropic$1.00 in·$5.00 out·200k·100% upAzure AI Foundry$1.00 in·$5.00 out·200k·100% upGoogle Vertex AI$1.00 in·$5.00 out·200k·99.9% up
GLM 5.330 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.65 in·$2.05 out·1M·99.8% upMMorph$0.71 in·$2.24 out·1M·99.8% upRRekafp8$0.76 in·$2.57 out·262k·99.4% upSSail Researchfp8$0.77 in·$4.00 out·1M·99.9% upNNovitafp8$0.78 in·$2.46 out·1M·99.9% upIio.netfp8$0.82 in·$2.77 out·262k·99.7% up
24 more hostsFewer hosts
PPhala$0.84 in·$2.64 out·1M·99.5% upDDeepInfrafp4$0.90 in·$3.00 out·1M·98% upIInferenceNetfp4$0.90 in·$3.00 out·1M·98% upDDigitalOcean$0.91 in·$2.86 out·1M·99.8% upIInceptronfp4$1.04 in·$3.39 out·1M·99.4% upGGMI Cloudfp8$1.05 in·$3.30 out·1M·99.5% upMMakorafp4$1.05 in·$4.20 out·980k·97.3% upSSiliconFlowfp8$1.12 in·$3.52 out·1M·99.7% upAlibaba Cloud$1.19 in·$3.74 out·1M·100% upDDecartfp4$1.19 in·$3.74 out·1M·99.1% 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% upBBasetenfp4$1.40 in·$4.40 out·1M·99.7% upCloudflare Workers AI$1.40 in·$4.40 out·1.3M·99.8% upCCrusoefp4$1.40 in·$4.40 out·1M·98.3% upFFireworks$1.40 in·$4.40 out·1M·99.5% upMistralnvfp4$1.40 in·$4.40 out·1M·99.7% upModal$1.40 in·$4.40 out·1M·99% upPParasailfp8$1.40 in·$4.40 out·1M·99.1% upTTogether$1.40 in·$4.40 out·1M·98.1% upVVenice$1.40 in·$4.40 out·1M·98.8% upWWafer$1.40 in·$4.40 out·1M·99.9% upZ.aifp8$1.40 in·$4.40 out·1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Claude Haiku 4.5 is developed by Anthropic while GLM 5.3 is developed by Zhipu AI. Claude Haiku 4.5 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 Haiku 4.5 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 Haiku 4.5 costs $1/M input tokens and GLM 5.3 costs $0.6538/M input tokens. GLM 5.3 is $0.35/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 Haiku 4.5 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.

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