Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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S-TIER

Coze

Intelligence Score 90/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 65/100, Gemini 1.5 Pro (via Coze) outperforms Llama 3.1 (Deployable) by 25 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 (Deployable)	Gemini 1.5 Pro (via Coze)
Context Window	128K	1M
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~85-87%
Release Date	Jul 2024	Feb-May 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Pay-per-second compute	Varies by model
Daily Limit	Credit-based	Token-based daily limits
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	$30 is one-time trial credits Requires some DevOps knowledge Cold starts for serverless models	Daily token limits on free tier Platform-specific API format Bot-centric usage model
Key Strengths	Deploy any HuggingFace model Serverless GPU infrastructure Auto-scaling (scale to zero)	Visual bot/agent builder Multi-model access (GPT-4o, Gemini) Plugin marketplace