Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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A-TIER

SambaNova Cloud

Intelligence Score 89/100

Context Window 32k Context

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 65/100, Qwen 2.5 Coder 32B outperforms Phi-3.5 Mini by 24 points.

Clear Winner: Significant performance advantage for Qwen 2.5 Coder 32B.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Qwen 2.5 Coder 32B
Context Window	128K tokens	32k Context
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware limited	Varies by model
Daily Limit	Unlimited	Dependent on credits
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	💻 Code Generation
Model Size	Undisclosed	32B
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Free credits are one-time for new users Context window varies by model (8k - 128k) Rate limits apply to free tier
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	SambaNova SN40L RDU Chip Dataflow Architecture Record-Breaking Speed