Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

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A-TIER

GitHub Models

Intelligence Score 88/100

Context Window 256K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 88/100, Gemini 1.5 Pro outperforms AI21 Jamba 1.5 Large by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	AI21 Jamba 1.5 Large
Context Window	2M Context, 2 RPM	256K
Architecture	Transformer (Proprietary)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~85-87%	~80-84%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	2-15 RPM	Varies by Copilot Tier
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Low
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
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	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Prototyping