Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.2 3B

Ollama

Intelligence Score 75/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

mistralai/mistral-7b-instruct-v0.2 Wins

With an intelligence score of 76/100 vs 75/100, mistralai/mistral-7b-instruct-v0.2 outperforms Llama 3.2 3B by 1 point.

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

Detailed Comparison

Feature
Llama 3.2 3B
mistralai/mistral-7b-instruct-v0.2
Context Window
128K tokens 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
Sep 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Hardware limited Varies by model
Daily Limit
Unlimited Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
3B 7b
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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