Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Command R7B (12-2024)

A-TIER

Cohere

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

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

Command R7B (12-2024) Wins

With an intelligence score of 87/100 vs 82/100, Command R7B (12-2024) outperforms Llama 3.2 11B Vision by 5 points.

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

Detailed Comparison

Feature
Command R7B (12-2024)
Llama 3.2 11B Vision
Context Window
128K 128k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 Sep 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 300 Requests / hour
Daily Limit
- Dependent on global load
Capabilities
No specific data
Text Vision
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
7B 11B
Limitations
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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