Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
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

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 91/100, Llama 3.1 405B Instruct outperforms Qwen 2.5 72B Instruct by 1 point.

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

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Qwen 2.5 72B Instruct
Context Window
128K 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~85-87%
Release Date
Jul 2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) Varies (community capacity)
Daily Limit
Credit-based (no daily cap) Subject to availability
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
405B 72B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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