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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Nebius (Token Factory)

Intelligence Score 76/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 76/100, DeepSeek V3.2 outperforms Qwen3 235B A22B Instruct 2507 by 18 points.

Clear Winner: Significant performance advantage for DeepSeek V3.2.

HEAD-TO-HEAD

Feature	DeepSeek V3.2	Qwen3 235B A22B Instruct 2507
Context Window	164K Context	256K Context
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	235B
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	$1 credit is small (good for testing) Limited model selection compared to aggregators Beta features may change
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Nebius Studio: Interactive playground OpenAI Compatibility: Easy swap Cost Effective: Competitive pricing