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

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 65/100, Mixtral 8x22B Instruct outperforms Qwen3.6 35B A3B by 24 points.

Clear Winner: Significant performance advantage for Mixtral 8x22B Instruct.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Mixtral 8x22B Instruct
Context Window	262K	64K
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	3M input / 60K output tokens per 60s	60 RPM (varies by model)
Daily Limit	500M input / 5M output tokens per 24h	Credit-based (no daily cap)
Capabilities	Vision Reasoning	Reasoning Multilingual
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	35B	22B
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving