Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek Coder V2

A-TIER

Ollama

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

Cohere Command R+

A-TIER

GitHub Models

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 80/100, DeepSeek Coder V2 outperforms Cohere Command R+ by 5 points.

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

Detailed Comparison

Feature
DeepSeek Coder V2
Cohere Command R+
Context Window
64K tokens 128K
Architecture
Dense Transformer Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Varies by Copilot Tier
Daily Limit
Unlimited Low
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
💻 Code Generation General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Prototyping

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