Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
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

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

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