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. ERNIE 4.5 300B A47BvsGLM 5.3 FlashX
Updated Sep 2026

ERNIE 4.5 300B A47BvsGLM 5.3 FlashX

ERNIE 4.5 300B A47B is cheaper than GLM 5.3 FlashX at $0.28/M vs $0.37/M input tokens.

ERNIE 4.5 300B A47B and GLM 5.3 FlashX compared across 12 shared prompts
SpecERNIE 4.5 300B A47BGLM 5.3 FlashX
Input price$0.28/M tokens$0.37/M tokens
Output price$1.1/M tokens$1.25/M tokens
Context window123K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJun 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…

ERNIE 4.5 300B A47B706 words
Hour-by-Hour Action Plan for the Next 48 Hours Day 1: Immediate Response (0–24 Hours) Hours 0–2: Crisis Team Assembly Action: Convene an emergency cross-functional team (Legal, Medical Affairs, Regulatory, Communications, Finance, HR). Reasoning: Centralizes decision-making, ensures alignment, and leverages expertise.
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

Historical Counterfactual Analysis

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

ERNIE 4.5 300B A47B803 words
The invention of the transistor in 1920 instead of 1947 would have profound and far-reaching implications across technology, economics, and geopolitics, reshaping the trajectory of the 20th century. Below is a detailed analysis of the likely consequences through 1980, including second- and third-order effects: 1.
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.…

ERNIE 4.5 300B A47B475 words
Weak Claim 1: Slide 1 Vision - "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why it’s weak: The claim of predicting what a user wants to type "before you think it" is scientifically implausible and borders on hyperbole.
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

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…

ERNIE 4.5 300B A47B261 words
Dish Name: Honey-Garlic Glazed Pantry Crispy Chickpeas Flavor Profile: Sweet & Savory with a Crunchy Kick Prep Time: 5 minutes Cook Time: 25 minutes Total Time: 30 minutes Ingredients (7 pantry staples): 1 can (15 oz) chickpeas, drained and rinsed 3 tbsp honey (or maple syrup) 2 tbsp soy sauce (or tamari) 3 garlic…
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

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

ERNIE 4.5 300B A47B939 words
Here's a detailed analysis of potential issues in the architecture, along with solutions and trade-offs: 1. Real-time Sync Issues Problem: WebSocket broadcasts are limited to a single server's clients.
Read the full answer
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

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…

ERNIE 4.5 300B A47B564 words
1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’re right to be skeptical—predicting the next word sounds trivial, like autocomplete on steroids. But the magic lies in scale and context.
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
Our Verdict
ERNIE 4.5 300B A47B
ERNIE 4.5 300B A47B
GLM 5.3 FlashX
GLM 5.3 FlashX

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

Too close to call
API pricing

Cost per 1M tokens

ERNIE 4.5 300B A47B
Input
$0.28
1.3× cheaper
Output
$1.10
1.1× cheaper
GLM 5.3 FlashX
Input
$0.37
Output
$1.25

ERNIE 4.5 300B A47B is cheaper on both: 1.3× input, 1.1× output.

Where to run it

1 host

ERNIE 4.5 300B A47B

No hosts listed on OpenRouter.

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 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

ERNIE 4.5 300B A47B is developed by Baidu while GLM 5.3 FlashX is developed by Zhipu AI. ERNIE 4.5 300B A47B has a 123K 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. ERNIE 4.5 300B A47B 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.

ERNIE 4.5 300B A47B costs $0.28/M input tokens and GLM 5.3 FlashX costs $0.37/M input tokens. ERNIE 4.5 300B A47B 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 ERNIE 4.5 300B A47B 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

ERNIE 4.5 300B A47B logoDeepSeek V4 Flash Vision Exp logo
ERNIE 4.5 300B A47B 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
ERNIE 4.5 300B A47B logoHy3 logo
ERNIE 4.5 300B A47B vs Hy3Landed Sep 2026
GLM 5.3 FlashX logoQwen3.7 Flash logo
GLM 5.3 FlashX vs Qwen3.7 FlashLanded Sep 2026
ERNIE 4.5 300B A47B logoLing 3.0 Flash logo
ERNIE 4.5 300B A47B 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
ERNIE 4.5 300B A47B logoGLM 5.3 logo
ERNIE 4.5 300B A47B 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

ERNIE 4.5 300B A47B logoClaude Opus 4.6 logo
ERNIE 4.5 300B A47B vs Claude Opus 4.6Same size
ERNIE 4.5 300B A47B logoGPT-6 Astra Pro logo
ERNIE 4.5 300B A47B vs GPT-6 Astra ProSame size
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
ERNIE 4.5 300B A47B logoGPT-5.6 Sol logo
ERNIE 4.5 300B A47B vs GPT-5.6 SolSame size
ERNIE 4.5 300B A47B logoGPT-5.6 Terra logo
ERNIE 4.5 300B A47B vs GPT-5.6 TerraNew provider
ERNIE 4.5 300B A47B logoGPT-6 Astra logo
ERNIE 4.5 300B A47B vs GPT-6 AstraSame size
GLM 5.3 FlashX logoGPT OSS 120B logo
GLM 5.3 FlashX vs GPT OSS 120BNew provider

Model pages

ERNIE 4.5 300B A47B logo
ERNIE 4.5 300B A47B58 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