Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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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 →

Llama 3.1 405B

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 85/100, Llama 3.1 405B outperforms Nemotron 3 Nano 30B by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Nemotron 3 Nano 30B
Llama 3.1 405B
Context Window
1M Context 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
1 req/s, 60/min, 250/hour (free token from dash.llm7.io) 10 RPM (free tier)
Daily Limit
100,000 tokens per 24h (free token; may be reduced without notice) Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
30B 405B
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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