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

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DEPRECATED

Replicate

This model is no longer active/free — kept for reference.

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 85/100 vs 76/100, Nemotron 3 Nano 30B outperforms mistralai/mistral-7b-instruct-v0.2 by 9 points.

HEAD-TO-HEAD

Feature	Nemotron 3 Nano 30B	mistralai/mistral-7b-instruct-v0.2
Context Window	1M Context	32K tokens
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)	Varies by model
Daily Limit	100,000 tokens per 24h (free token; may be reduced without notice)	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	30B	7b
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models