Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

Mistral (Any version)

LM Studio

Intelligence Score 65/100
Context Window Varies
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 65/100, Llama 3.1 405B outperforms Mistral (Any version) by 26 points.

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

Detailed Comparison

Feature
Llama 3.1 405B
Mistral (Any version)
Context Window
128K tokens Varies
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Hardware limited
Daily Limit
Limited daily usage Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Closed source application
  • Large downloads
  • Hardware dependent performance
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers

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