Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 4 Scout 17B

A-TIER

Cloudflare Workers AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 131K Context
Pricing Model Free / Open
View Provider Analysis →

GLM-4.6V-Flash (vision)

A-TIER

Z.AI (GLM)

Intelligence Score 83/100
Context Window Vision
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout 17B Wins

With an intelligence score of 87/100 vs 83/100, Llama 4 Scout 17B outperforms GLM-4.6V-Flash (vision) by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout 17B
GLM-4.6V-Flash (vision)
Context Window
131K Context Vision
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model ~1 request/second (Flash models)
Daily Limit
10,000 neurons/day ~1,000 requests/day (Flash tier)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
17B Undisclosed
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • 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
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • GLM-4.5-Flash & GLM-4.7-Flash Free Access
  • Strong Coding Benchmarks
  • OpenAI-Compatible Endpoint

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