Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Codestral

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 256k

Pricing Model Free / Open

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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 86/100, Qwen 2.5 72B Instruct outperforms Codestral by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Codestral	Qwen 2.5 72B Instruct
Context Window	256k	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	1 request/second	Varies (community capacity)
Daily Limit	-	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	72B
Limitations	Phone verification required Data training opt-in required 1 request/second rate limit	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format