Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Qwen 2.5 72B

S-TIER

Hyperbolic

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

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

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

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 80/100, Qwen 2.5 72B outperforms Llama 3.1 8B Instruct by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
Llama 3.1 8B Instruct
Context Window
32K 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based 10,000 neurons/day
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
âš¡ Fast âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
72B 8B
Limitations
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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