Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Codestral

A-TIER

Mistral AI

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

Commercial/Paid Model

DEPRECATED

LLM7.io

This model is no longer active/free — kept for reference.

Intelligence Score 65/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Codestral outperforms Qwen 2.5 by 21 points.

Clear Winner: Significant performance advantage for Codestral.

HEAD-TO-HEAD

Feature	Codestral	Qwen 2.5
Context Window	32K	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	5,000 RPM	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)
Daily Limit	Based on tier	100,000 tokens per 24h (free token; may be reduced without notice)
Capabilities	Function Calling Streaming JSON Mode	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	API key required Limited availability	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Code specialist Multi-language Code completion	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use