Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 89/100, Llama 3.1 405B outperforms Phi-4 by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-4
Llama 3.1 405B
Context Window
128K 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Dec 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier 10 RPM (free tier)
Daily Limit
Low Limited daily usage
Capabilities
Reasoning
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Prototyping
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

Similar Comparisons