Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Qwen 2.5 72B

S-TIER

Hyperbolic

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Context Window 64K
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 by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
DeepSeek-R1
Context Window
32K 64K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~92-95%
Release Date
Sep-Nov 2024 Jan 2025
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
⚡ Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
72B Undisclosed
Limitations
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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