Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral Small 3.1 24B

A-TIER

Cloudflare Workers AI

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 128K Context
Pricing Model Free / Open

Phi-3.5 Mini

Ollama

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

Mistral Small 3.1 24B Wins

With an intelligence score of 82/100 vs 65/100, Mistral Small 3.1 24B outperforms Phi-3.5 Mini by 17 points.

Clear Winner: Significant performance advantage for Mistral Small 3.1 24B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Small 3.1 24B
Phi-3.5 Mini
Context Window
128K Context 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model Hardware limited
Daily Limit
10,000 neurons/day Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
24B Undisclosed
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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