Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

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

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 80/100, Qwen 2.5 72B Instruct outperforms Mistral Nemo by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B Instruct
Mistral Nemo
Context Window
32K 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 1 request/second
Daily Limit
Subject to availability -
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B Undisclosed
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

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