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

View Provider Analysis →

S-TIER

Google

Intelligence Score 99/100

Context Window 2M

Pricing Model Commercial / Paid

Model Popularity 0 votes

Commercial/Paid Model

FINAL VERDICT

With an intelligence score of 99/100 vs 80/100, Gemini 3.1 Pro outperforms DeepSeek-V4 Pro by 19 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Pro.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Gemini 3.1 Pro
Context Window	128K	2M
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	2,000 RPM
Daily Limit	Credit-based	1,500 requests/day (free tier)
Capabilities	No specific data	Vision Function Calling Streaming JSON Mode Web Search
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
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	API key required Rate limits vary by region
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Complex tasks Creative concepts Best-in-class reasoning