Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 3.1 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 96/100

Model Popularity 0 votes

Context Window 1M Context, 30 RPM

Pricing Model Free / Open

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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 96/100 vs 81/100, Gemini 3.1 Flash-Lite outperforms LLaVA 1.5 by 15 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Flash-Lite.

HEAD-TO-HEAD

Feature	Gemini 3.1 Flash-Lite	LLaVA 1.5
Context Window	1M Context, 30 RPM	Local
Architecture	Transformer (Proprietary)	Transformer
Est. MMLU Score	~92-95%	~75-79%
Release Date	2026 (Expected)	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)	Hardware dependent
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Unlimited
Capabilities	No specific data	Vision
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	Undisclosed
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server