Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

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

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Context Window 4K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

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

Equal intelligence scores (76/100), but mistralai/mistral-7b-instruct-v0.2 offers a significantly larger context window.

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

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Phi-3 Mini 4K Instruct
Context Window
32K tokens 4K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~70-74% ~70-74%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model 30 RPM
Daily Limit
Credit-based Generous for personal use
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ 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
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported

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