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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A-TIER

Hugging Face Inference

Intelligence Score 83/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 83/100, Codestral outperforms Qwen3.5 72B Instruct by 3 points.

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

HEAD-TO-HEAD

Feature	Codestral	Qwen3.5 72B Instruct
Context Window	256k	128K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	1 request/second	300 Requests / hour
Daily Limit	-	Capped by monthly credit, not a flat request count
Capabilities	No specific data	Chinese
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
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	Rate limited to ~300 request/hour for free users Models larger than 10GB may not load Cold starts can occur
Key Strengths	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support	Serverless Inference Instant Model Loading Text Generation