Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V4 Pro (0813)

A-TIER

NVIDIA NIM

Intelligence Score 80/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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OpenRouter

Intelligence Score 77/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 77/100, DeepSeek V4 Pro (0813) outperforms Cohere North Mini Code by 3 points.

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

HEAD-TO-HEAD

Feature	DeepSeek V4 Pro (0813)	Cohere North Mini Code
Context Window	Long context	256K Context
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~75-79%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	40 requests/minute	20 requests/minute
Daily Limit	-	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	💻 Code Generation
Model Size	Undisclosed	Undisclosed
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	High performance models	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing