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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S-TIER

NVIDIA NIM

Intelligence Score 97/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 90/100, DeepSeek-R1 outperforms Gemini 1.5 Pro by 7 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	DeepSeek-R1
Context Window	2M Context, 2 RPM	128K
Architecture	Transformer (Proprietary)	Dense Transformer
Est. MMLU Score	~85-87%	~92-95%
Release Date	Feb-May 2024	Jan 2025
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)	40 requests/minute
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	-
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	⚡ Fast Chat & Apps	🧠 Complex Reasoning
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	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	High performance models