Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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)
10 RPM (high-tier) / higher for mini-tier 10 RPM (free tier)
Daily Limit
50 RPD (high-tier models) / 150 RPD (mini-tier models) 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

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