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

OpenRouter

Intelligence Score 96/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 80/100, Google: Gemini 2.0 Pro (free) outperforms DeepSeek-V4 Pro by 16 points.

Clear Winner: Significant performance advantage for Google: Gemini 2.0 Pro (free).

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Google: Gemini 2.0 Pro (free)
Context Window	128K	1M
Architecture	Dense Transformer	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~92-95%
Release Date	2024	Dec 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	20 requests/minute
Daily Limit	Credit-based	50 requests/day (up to 1000 with $10 topup)
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	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing