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 96/100

Context Window 1M Context, 30 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 80/100, Gemini 3.1 Flash-Lite outperforms DeepSeek-V4 Pro by 16 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Flash-Lite.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Gemini 3.1 Flash-Lite
Context Window	128K	1M Context, 30 RPM
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	2026 (Expected)
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	No specific data
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	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