Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
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 70B Instruct Wins

With an intelligence score of 88/100 vs 84/100, Llama 3.1 70B Instruct outperforms Mistral Nemo 12B by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Mistral Nemo 12B
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) Hardware limited
Daily Limit
Subject to availability Unlimited
Capabilities
No specific data
Multilingual
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 12B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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