Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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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 Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Context Window 32K tokens
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 84/100, Llama 3.1 405B outperforms Mistral Nemo 12B by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B
Mistral Nemo 12B
Context Window
128K tokens 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
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
Multilingual
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B 12B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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