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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A-TIER

DeepSeek

Intelligence Score 80/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, DeepSeek-V4 Pro outperforms Qwen3.6 35B A3B by 15 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Pro.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	DeepSeek-V4 Pro
Context Window	262K	128K
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	3M input / 60K output tokens per 60s	60 RPM
Daily Limit	500M input / 5M output tokens per 24h	Credit-based
Capabilities	Vision Reasoning	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	35B	Undisclosed
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)