Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

Intelligence Score 76/100

Model Popularity 0 votes

Context Window 256K Context

Pricing Model Free / Open

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A-TIER

NVIDIA NIM

Intelligence Score 80/100

Context Window Long context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 76/100, DeepSeek V4 Pro (0813) outperforms Qwen3 235B A22B Instruct 2507 by 4 points.

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

HEAD-TO-HEAD

Feature	Qwen3 235B A22B Instruct 2507	DeepSeek V4 Pro (0813)
Context Window	256K Context	Long context
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~70-74%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	60 RPM	40 requests/minute
Daily Limit	Credit-based	-
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	235B	Undisclosed
Limitations	$1 credit is small (good for testing) Limited model selection compared to aggregators Beta features may change	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Nebius Studio: Interactive playground OpenAI Compatibility: Easy swap Cost Effective: Competitive pricing	High performance models