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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S-TIER

Chutes.ai

Intelligence Score 97/100

Context Window 64K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Phi-3.5 Mini by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	DeepSeek-R1
Context Window	128K tokens	64K
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	Varies (community capacity)
Daily Limit	Unlimited	Subject to availability
Capabilities	Reasoning	Reasoning
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	⚡ Fast Chat & Apps	🧠 Complex Reasoning
Model Size	Undisclosed	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format