Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 1M

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 90/100 vs 71/100, Gemini 1.5 Pro (via Coze) outperforms Llama 3 8B Instruct by 19 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Pro (via Coze).

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro (via Coze)	Llama 3 8B Instruct
Context Window	1M	8K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~65-69%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies by model	Hardware dependent
Daily Limit	Token-based daily limits	Unlimited
Capabilities	No specific data	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	Daily token limits on free tier Platform-specific API format Bot-centric usage model	Learning curve for 'Bento' concept Deployment requires cloud knowledge Local serving is just step 1
Key Strengths	Visual bot/agent builder Multi-model access (GPT-4o, Gemini) Plugin marketplace	Unified Model Store Distributed Runner Architecture Deployment Agnostic