Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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S-TIER

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 80/100, Gemini 1.5 Pro outperforms DeepSeek-V4 Pro by 10 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Gemini 1.5 Pro
Context Window	128K	2M Context, 2 RPM
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	Feb-May 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	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	Reasoning
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed