Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 →

Gemma 2 9B

A-TIER

Ollama

Intelligence Score 80/100
Context Window 8K tokens
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 80/100, Llama 4 Scout 17B outperforms Gemma 2 9B by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout 17B
Gemma 2 9B
Context Window
131K Context 8K tokens
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 Hardware limited
Daily Limit
10,000 neurons/day Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
17B 9B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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