Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid

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 87/100, Llama 3.1 405B outperforms Llama 3.1 70B by 4 points.

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

Detailed Comparison

Feature
Llama 3.1 70B
Llama 3.1 405B
Context Window
8K 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Jul 2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
Reasoning
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
70B 405B
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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