Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Model Popularity 0 votes
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
View Provider Analysis →

Llama 3 (Local)

Jan.ai

Intelligence Score 65/100
Context Window System RAM dependent
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 65/100, Gemini 2.0 Flash-Lite outperforms Llama 3 (Local) by 28 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash-Lite.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 2.0 Flash-Lite
Llama 3 (Local)
Context Window
1M Context, 10 RPM System RAM dependent
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~60-64%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
2-15 RPM Hardware dependent
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) Unlimited
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Requires decent hardware (RAM/GPU)
  • Battery drain on laptops
  • Local model quality vs GPT-4
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • One-click Model Downloader
  • Built-in Local API Server
  • GPU Acceleration (NVIDIA/Metal/Vulkan)

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