Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral (Local)

Jan.ai

Intelligence Score 65/100
Model Popularity 0 votes
Context Window System RAM dependent
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 65/100, Llama 3.1 405B outperforms Mistral (Local) by 26 points.

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

Detailed Comparison

Feature
Mistral (Local)
Llama 3.1 405B
Context Window
System RAM dependent 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 10 RPM (free tier)
Daily Limit
Unlimited Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Requires decent hardware (RAM/GPU)
  • Battery drain on laptops
  • Local model quality vs GPT-4
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • One-click Model Downloader
  • Built-in Local API Server
  • GPU Acceleration (NVIDIA/Metal/Vulkan)
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

Similar Comparisons