Battle of the Models

Compare specific LLM models, context windows, and capabilities.

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100

Model Popularity 0 votes

Context Window Local

Pricing Model Free / Open

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A-TIER

DeepSeek

Intelligence Score 80/100

Context Window 128K

Pricing Model Commercial / Paid

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