Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

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

Llama 3.3 70B

S-TIER

Groq

Intelligence Score 94/100
Context Window 1k RPD, 12k TPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.3 70B Wins

With an intelligence score of 94/100 vs 91/100, Llama 3.3 70B outperforms Qwen 2.5 72B Instruct 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 Instruct
Llama 3.3 70B
Context Window
32K 1k RPD, 12k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~88-91%
Release Date
Sep-Nov 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 30 RPM, 14.4k RPD
Daily Limit
Subject to availability 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
⚡ Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
72B 70B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Test
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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