Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemini 3.5 Flash

S-TIER

Google AI Studio

Intelligence Score 96/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open
View Provider Analysis →

Llama 4 Scout 17B

A-TIER

Cloudflare Workers AI

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

Gemini 3.5 Flash Wins

With an intelligence score of 96/100 vs 87/100, Gemini 3.5 Flash outperforms Llama 4 Scout 17B by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 3.5 Flash
Llama 4 Scout 17B
Context Window
1M Context 131K Context
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~92-95% ~80-84%
Release Date
2026 (Expected) 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5-30 RPM (varies by model) Varies by model
Daily Limit
Varies by model (Flash / Flash-Lite only; Pro models are paid) 10,000 neurons/day
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 17B
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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