Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 2.0 Flash Thinking

S-TIER

Google AI Studio

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 1M Context, 10 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 94/100 vs 81/100, Gemini 2.0 Flash Thinking outperforms LLaVA 1.5 by 13 points.

HEAD-TO-HEAD

Feature	Gemini 2.0 Flash Thinking	LLaVA 1.5
Context Window	1M Context, 10 RPM	Local
Architecture	Transformer (Proprietary)	Transformer
Est. MMLU Score	~88-91%	~75-79%
Release Date	Dec 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	Hardware dependent
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Unlimited
Capabilities	Thinking Reasoning	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