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 →

DEPRECATED

NVIDIA NIM

This model is no longer active/free — kept for reference.

Intelligence Score 97/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 97/100 vs 85/100, DeepSeek-R1 outperforms Nemotron 3 Nano 30B by 12 points.

HEAD-TO-HEAD

Feature	Nemotron 3 Nano 30B	DeepSeek-R1
Context Window	1M Context	128K
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~80-84%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)	~40 RPM (varies per model, not published)
Daily Limit	100,000 tokens per 24h (free token; may be reduced without notice)	-
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	30B	Undisclosed
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	High performance models