Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K 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
Mistral Nemo 12B
Llama 3.1 405B
Context Window
32K tokens 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~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
Multilingual
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
12B 405B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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