Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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No matches found

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 4K
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 76/100, Llama 3.1 405B outperforms Phi-3 Mini 4K Instruct by 15 points.

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

Detailed Comparison

Feature
Phi-3 Mini 4K Instruct
Llama 3.1 405B
Context Window
4K 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 10 RPM (free tier)
Daily Limit
Generous for personal use Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 405B
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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