Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Command R+ (08-2024)

A-TIER

Cohere

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128K
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 80/100, DeepSeek-R1 outperforms Command R+ (08-2024) by 17 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD

Detailed Comparison

Feature
Command R+ (08-2024)
DeepSeek-R1
Context Window
128K 64K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~75-79% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Varies (community capacity)
Daily Limit
- Subject to availability
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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