Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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GLM-4.5-Flash

A-TIER

Z.AI (GLM)

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

GLM-4.5-Flash Wins

With an intelligence score of 83/100 vs 71/100, GLM-4.5-Flash outperforms Llama 3 8B Instruct by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
GLM-4.5-Flash
Llama 3 8B Instruct
Context Window
128K 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
~1 request/second (Flash models) Hardware dependent
Daily Limit
~1,000 requests/day (Flash tier) Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 8B
Limitations
  • Free Flash tier capped near 1 request/second
  • Flagship GLM-5.2 model requires a paid plan
  • Free-tier limits have changed more than once in the past year — verify on docs.z.ai
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • GLM-4.5-Flash & GLM-4.7-Flash Free Access
  • Strong Coding Benchmarks
  • OpenAI-Compatible Endpoint
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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