Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

llamafile

Intelligence Score 81/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 81/100 vs 80/100, LLaVA 1.5 outperforms DeepSeek-V4 Pro by 1 point.

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

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	LLaVA 1.5
Context Window	128K	Local
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Hardware dependent
Daily Limit	Credit-based	Unlimited
Capabilities	No specific data	Vision
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server