Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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
View Provider Analysis →

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 85/100, Qwen 2.5 72B outperforms DeepSeek Coder V2 by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
DeepSeek Coder V2
Context Window
32K 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~80-84%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Hardware limited
Daily Limit
Credit-based Unlimited
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
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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