Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 2.0 Flash Thinking

S-TIER

Google AI Studio

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 1M Context, 10 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 94/100 vs 88/100, Gemini 2.0 Flash Thinking outperforms AI21 Jamba 1.5 Large by 6 points.

HEAD-TO-HEAD

Feature	Gemini 2.0 Flash Thinking	AI21 Jamba 1.5 Large
Context Window	1M Context, 10 RPM	256K
Architecture	Transformer (Proprietary)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~88-91%	~80-84%
Release Date	Dec 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	10 RPM (high-tier) / higher for mini-tier
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	50 RPD (high-tier models) / 150 RPD (mini-tier models)
Capabilities	Thinking Reasoning	No specific data
Performance Tier	S-Tier (Elite)	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