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

Google AI Studio

Intelligence Score 97/100

Context Window 1M Context, 50 RPD

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 65/100, Gemini 3 Pro outperforms Llama 3.1 (Deployable) by 32 points.

Clear Winner: Significant performance advantage for Gemini 3 Pro.

HEAD-TO-HEAD

Feature	Llama 3.1 (Deployable)	Gemini 3 Pro
Context Window	128K	1M Context, 50 RPD
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~92-95%
Release Date	Jul 2024	2026 (Expected)
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Pay-per-second compute	15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)
Daily Limit	Credit-based	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	S-Tier (Elite)
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	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Deploy any HuggingFace model Serverless GPU infrastructure Auto-scaling (scale to zero)	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed