Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 262K

Pricing Model Free / Open

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OpenRouter

Intelligence Score 65/100

Context Window 262K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

Both models score 65/100 and have comparable capabilities.

🎯 Selection Guide:
Your choice depends on provider preference, latency requirements, and specific features.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	XingChen Xing4.0 29B A4B
Context Window	262K	262K Context
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 requests, 4M input / 100K output tokens per 60s (per API key)	20 requests/minute
Daily Limit	No daily cap published (free while the API is experimental)	50 requests/day (up to 1000 with $10 topup)
Capabilities	Vision Reasoning	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	35B	29B
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing