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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S-TIER

Requesty

Intelligence Score 92/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 92/100 vs 65/100, GPT-4o (via routing) outperforms Qwen3.6 35B A3B by 27 points.

Clear Winner: Significant performance advantage for GPT-4o (via routing).

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	GPT-4o (via routing)
Context Window	262K	128K
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~85-87%
Release Date	2024	May-Nov 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	200 requests/day (free models)
Capabilities	Vision Reasoning	Vision
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	35B	~1.8T (estimated)
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing