Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

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

Qwen3 32B (Fast)

Cerebras

Intelligence Score 79/100
Context Window 8K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen3 32B (Fast) Wins

With an intelligence score of 79/100 vs 65/100, Qwen3 32B (Fast) outperforms Phi-3.5 Mini by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
Qwen3 32B (Fast)
Context Window
128K tokens 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 5 RPM
Daily Limit
Unlimited 1M tokens/day
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 32B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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