Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Flash

A-TIER

Google AI Studio

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

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BentoML

Intelligence Score 71/100

Context Window 8K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 71/100, Gemini 1.5 Flash outperforms Llama 3 8B Instruct by 14 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Flash	Llama 3 8B Instruct
Context Window	1M Context, 15 RPM	8K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~65-69%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	2-15 RPM	Hardware dependent
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Unlimited
Capabilities	Multimodal	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	8B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Learning curve for 'Bento' concept Deployment requires cloud knowledge Local serving is just step 1
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Unified Model Store Distributed Runner Architecture Deployment Agnostic