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

Llama 3.1 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 87/100, Qwen 2.5 72B outperforms Llama 3.1 70B by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
Llama 3.1 70B
Context Window
32K 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
âš¡ Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
72B 70B
Limitations
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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