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

View Provider Analysis →

DEPRECATED

Chutes.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 86/100, Qwen 2.5 72B Instruct outperforms Codestral Latest by 5 points.

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

HEAD-TO-HEAD

Feature	Codestral Latest	Qwen 2.5 72B Instruct
Context Window	256K Context	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)	30 RPM (no signup) / 120 RPM (free email token)	Varies (community capacity)
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format