Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
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

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 65/100, Meta: Llama 3.3 70B Instruct (free) outperforms Qwen3Guard-Gen-0.6B (Beta) by 29 points.

Clear Winner: Significant performance advantage for Meta: Llama 3.3 70B Instruct (free).
HEAD-TO-HEAD

Detailed Comparison

Feature
Meta: Llama 3.3 70B Instruct (free)
Qwen3Guard-Gen-0.6B (Beta)
Context Window
128k 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~60-64%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Unspecified
Capabilities
No specific data
Text
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 0.6B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Beta service, may end or change
  • 2 requests/minute for anonymous usage
  • Requires token for higher limits (400 RPM)
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Data sovereignty (EU)
  • Beta access to premium models
  • Simple integration

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