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

DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Context Window 64K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 91/100, DeepSeek V3 outperforms Qwen 2.5 72B by 3 points.

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

Detailed Comparison

Feature
Qwen 2.5 72B
DeepSeek V3
Context Window
32K 64K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~88-91%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM (varies by model)
Daily Limit
Credit-based Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
âš¡ 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
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Verifiable Inference (verified computing)
  • Low Cost due to decentralized compute
  • Privacy focused
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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