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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Requesty

Intelligence Score 65/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, DeepSeek-V4 Pro outperforms Poolside Laguna XS.2 by 15 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Pro.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Poolside Laguna XS.2
Context Window	128K	Long context
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing