Battle of the Models

Compare specific LLM models, context windows, and capabilities.

XingChen Xing4.0 29B A4B

OpenRouter

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 262K Context

Pricing Model Free / Open

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DEPRECATED

NVIDIA NIM

This model is no longer active/free — kept for reference.

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 65/100, DeepSeek-R1 outperforms XingChen Xing4.0 29B A4B by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	XingChen Xing4.0 29B A4B	DeepSeek-R1
Context Window	262K Context	128K
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	~40 RPM (varies per model, not published)
Daily Limit	50 requests/day (up to 1000 with $10 topup)	-
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	29B	Undisclosed
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	High performance models