Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 65/100, Llama 3.1 405B outperforms Phi-3.5 Mini by 26 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B
Phi-3.5 Mini
Context Window
128K tokens 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Hardware limited
Daily Limit
Limited daily usage Unlimited
Capabilities
Reasoning
Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
405B Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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