Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Free / Open

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

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

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 91/100, DeepSeek-R1 outperforms Qwen 2.5 72B Instruct by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
Qwen 2.5 72B Instruct
Context Window
64K 32K
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~92-95% ~85-87%
Release Date
Jan 2025 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) Varies (community capacity)
Daily Limit
Subject to availability Subject to availability
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 72B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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