Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B Instruct outperforms Llama 3.1 (Deployable) by 26 points.

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

Detailed Comparison

Feature
Llama 3.1 (Deployable)
Qwen 2.5 72B Instruct
Context Window
128K 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
Jul 2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Pay-per-second compute Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 72B
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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