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

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Wins

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B outperforms Dolphin Mixtral by 26 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 72B
Dolphin Mixtral
Context Window
32K 32K tokens
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~85-87% ~60-64%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
72B Undisclosed
Limitations
  • Credits are limited ($1)
  • Decentralized nature may vary latency
  • Billing flow involves crypto/stripe
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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