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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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 97/100 vs 76/100, DeepSeek-R1 outperforms mistralai/mistral-7b-instruct-v0.2 by 21 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	DeepSeek-R1	mistralai/mistral-7b-instruct-v0.2
Context Window	64K	32K tokens
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~70-74%
Release Date	Jan 2025	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies (community capacity)	Varies by model
Daily Limit	Subject to availability	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	🐢 Slower (Reasoning)	⚡ Very Fast
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	7b
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models