Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100

Model Popularity 0 votes

Context Window 64K

Pricing Model Free / Open

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LM Studio

Intelligence Score 65/100

Context Window Varies

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Phi-3 (Any version) by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	DeepSeek-R1	Phi-3 (Any version)
Context Window	64K	Varies
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~92-95%	~60-64%
Release Date	Jan 2025	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies (community capacity)	Hardware limited
Daily Limit	Subject to availability	Unlimited
Capabilities	Reasoning	No specific data
Performance Tier	S-Tier (Elite)	C-Tier (Good)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Closed source application Large downloads Hardware dependent performance
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers