Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 256K Context

Pricing Model Free / Open

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A-TIER

DeepSeek

Intelligence Score 83/100

Context Window 1M Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 83/100, Codestral Latest outperforms DeepSeek Flash (V4.1) by 3 points.

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

HEAD-TO-HEAD

Feature	Codestral Latest	DeepSeek Flash (V4.1)
Context Window	256K Context	1M Context
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	60 RPM
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)