Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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TinyLlama

llamafile

Intelligence Score 64/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 64/100, Gemini 2.0 Flash-Lite outperforms TinyLlama by 29 points.

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

Detailed Comparison

Feature
TinyLlama
Gemini 2.0 Flash-Lite
Context Window
Local 1M Context, 10 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~60-64% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 2-15 RPM
Daily Limit
Unlimited 1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed ~1.5T (estimated)
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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