Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen 2.5 72B Instruct

DEPRECATED

Chutes.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open

Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100
Context Window 256K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

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

Detailed Comparison

Feature
Qwen 2.5 72B Instruct
Codestral Latest
Context Window
32K 256K Context
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~80-84%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 30 RPM (no signup) / 120 RPM (free email token)
Daily Limit
Subject to availability Up to 5M tokens/day (rolling 24h, with free token)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
72B Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use

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