Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 2 (Any Size)

LM Studio

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Varies
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 Gemma 2 (Any Size) by 26 points.

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

Detailed Comparison

Feature
Gemma 2 (Any Size)
Llama 3.1 405B
Context Window
Varies 128K tokens
Architecture
Transformer 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 limited 10 RPM (free tier)
Daily Limit
Unlimited Limited daily usage
Capabilities
Reasoning
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
  • Closed source application
  • Large downloads
  • Hardware dependent performance
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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