Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Nemotron 3 Nano 30B

A-TIER

LLM7.io

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 1M Context

Pricing Model Free / Open

View Provider Analysis →

A-TIER

Cohere

Intelligence Score 80/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 85/100 vs 80/100, Nemotron 3 Nano 30B outperforms Command A (111B) by 5 points.

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

HEAD-TO-HEAD

Feature	Nemotron 3 Nano 30B	Command A (111B)
Context Window	1M Context	256K Context
Architecture	Transformer	Transformer
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)	20 requests/minute
Daily Limit	100,000 tokens per 24h (free token; may be reduced without notice)	1,000 API calls/month (trial key)
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	30B	111B
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Monthly quota shared across all models 1,000 API calls/month on free tier Commercial use restricted on free plan
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Retrieval Augmented Generation (RAG) built-in Enterprise-grade models Embeddings and reranking models