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

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Command R7B (12-2024) Wins

With an intelligence score of 87/100 vs 85/100, Command R7B (12-2024) outperforms DeepSeek Coder V2 by 2 points.

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

Detailed Comparison

Feature
Command R7B (12-2024)
DeepSeek Coder V2
Context Window
128K 64K tokens
Architecture
Transformer Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Hardware limited
Daily Limit
- Unlimited
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
7B Undisclosed
Limitations
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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