Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

Replicate

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

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

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

With an intelligence score of 76/100 vs 65/100, mistralai/mistral-7b-instruct-v0.2 outperforms Phi-3.5 Mini by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Phi-3.5 Mini
Context Window
32K tokens 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~70-74% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
7b Undisclosed
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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