Battle of the Models

Compare specific LLM models, context windows, and capabilities.

mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Commercial / Paid

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