Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B (Fast)

A-TIER

Cerebras

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 8K
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 87/100, Llama 3.1 405B outperforms Llama 3.1 70B (Fast) 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 (Fast)
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
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 10 RPM (free tier)
Daily Limit
1,000,000 Tokens / Day Limited daily usage
Capabilities
No specific data
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
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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