Battle of the Models

Compare specific LLM models, context windows, and capabilities.

North Mini Code

Cohere

Intelligence Score 77/100

Model Popularity 0 votes

Context Window 256K Context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 77/100, Mistral Nemo Instruct 2407 outperforms North Mini Code by 3 points.

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

HEAD-TO-HEAD

Feature	North Mini Code	Mistral Nemo Instruct 2407
Context Window	256K Context	128K Context
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	20 requests/minute	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	-	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Monthly quota shared across all models 1,000 API calls/month on free tier Commercial use restricted on free plan	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Retrieval Augmented Generation (RAG) built-in Enterprise-grade models Embeddings and reranking models	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use