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

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 83/100, Codestral outperforms DeepSeek-V4 Flash by 3 points.

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

HEAD-TO-HEAD

Feature	Codestral	DeepSeek-V4 Flash
Context Window	256k	1M
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	1 request/second	60 RPM
Daily Limit	-	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	💻 Code Generation	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	Phone verification required Data training opt-in required 1 request/second rate limit	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)