Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Command A (111B)

A-TIER

Cohere

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 256K

Pricing Model Free / Open

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S-TIER

NVIDIA NIM

Intelligence Score 97/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 80/100, DeepSeek-R1 outperforms Command A (111B) by 17 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	Command A (111B)	DeepSeek-R1
Context Window	256K	128K
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	40 requests/minute
Daily Limit	-	-
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	111B	Undisclosed
Limitations	Monthly quota shared across all models 1,000 API calls/month on free tier Commercial use restricted on free plan	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Retrieval Augmented Generation (RAG) built-in Enterprise-grade models Embeddings and reranking models	High performance models