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

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Context Window 64K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 85/100, DeepSeek-R1 outperforms DeepSeek Coder V2 by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Coder V2
DeepSeek-R1
Context Window
64K tokens 64K
Architecture
Dense Transformer Dense Transformer
Est. MMLU Score
~80-84% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Varies (community capacity)
Daily Limit
Unlimited Subject to availability
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
💻 Code Generation 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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