Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

Qwen3Guard-Gen-0.6B (Beta)

OVH AI Endpoints

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

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 65/100, Llama 3.1 70B Instruct outperforms Qwen3Guard-Gen-0.6B (Beta) by 23 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Qwen3Guard-Gen-0.6B (Beta)
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit
Subject to availability Unspecified
Capabilities
No specific data
Text
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 0.6B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Beta service, may end or change
  • 2 requests/minute for anonymous usage
  • Requires token for higher limits (400 RPM)
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Data sovereignty (EU)
  • Beta access to premium models
  • Simple integration

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