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

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 81/100, Mixtral 8x22B Instruct outperforms LLaVA 1.5 by 8 points.

HEAD-TO-HEAD

Feature	LLaVA 1.5	Mixtral 8x22B Instruct
Context Window	Local	64K
Architecture	Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware dependent	60 RPM (varies by model)
Daily Limit	Unlimited	Credit-based (no daily cap)
Capabilities	Vision	Reasoning Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	22B
Limitations	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving