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 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 76/100, Qwen 2.5 72B Instruct outperforms mistralai/mistral-7b-instruct-v0.2 by 15 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B Instruct.

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	Qwen 2.5 72B Instruct
Context Window	32K tokens	32K
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~85-87%
Release Date	2024	Sep-Nov 2024
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	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7b	72B
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