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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A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 84/100, DeepSeek-R1 outperforms Mistral Nemo 12B by 13 points.

HEAD-TO-HEAD

Feature	DeepSeek-R1	Mistral Nemo 12B
Context Window	64K	32K tokens
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~75-79%
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	Multilingual
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	12B
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration