Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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

Qwen 2.5 7B Instruct (free)

DEPRECATED

OpenRouter

This model is no longer active/free — kept for reference.

Intelligence Score 79/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Nemotron 3 Nano 30B Wins

With an intelligence score of 85/100 vs 79/100, Nemotron 3 Nano 30B outperforms Qwen 2.5 7B Instruct (free) by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Nemotron 3 Nano 30B
Qwen 2.5 7B Instruct (free)
Context Window
1M Context 32k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
2024 Sep-Nov 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) 50 requests/day (up to 1000 with $10 topup)
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
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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