Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

Google: Gemini 2.0 Pro (free)

S-TIER

OpenRouter

Intelligence Score 96/100
Context Window 1M
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Google: Gemini 2.0 Pro (free) Wins

With an intelligence score of 96/100 vs 82/100, Google: Gemini 2.0 Pro (free) outperforms Llama 3.2 11B Vision by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 11B Vision
Google: Gemini 2.0 Pro (free)
Context Window
128k 1M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~75-79% ~92-95%
Release Date
Sep 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour 20 requests/minute
Daily Limit
Dependent on global load 50 requests/day (up to 1000 with $10 topup)
Capabilities
Text Vision
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
👁️ Vision & Multimodal ⚡ Fast Chat & Apps
Model Size
11B ~1.5T (estimated)
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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