Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 2M Context, 2 RPM
Pricing Model Free / Open
View Provider Analysis →

Llama 3.2 3B

Ollama

Intelligence Score 75/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 1.5 Pro Wins

With an intelligence score of 90/100 vs 75/100, Gemini 1.5 Pro outperforms Llama 3.2 3B by 15 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
Llama 3.2 3B
Context Window
2M Context, 2 RPM 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~70-74%
Release Date
Feb-May 2024 Sep 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM Hardware limited
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 3B
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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