Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100

Model Popularity 0 votes

Context Window 164K Context

Pricing Model Free / Open

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S-TIER

NVIDIA NIM

Intelligence Score 97/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 94/100, DeepSeek-R1 outperforms DeepSeek V3.2 by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	DeepSeek V3.2	DeepSeek-R1
Context Window	164K Context	128K
Architecture	Dense Transformer	Dense Transformer
Est. MMLU Score	~88-91%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	60 RPM	40 requests/minute
Daily Limit	Credit-based	-
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	Undisclosed	Undisclosed
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	High performance models