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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Cerebras

Intelligence Score 65/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

Equal intelligence scores (65/100), but Qwen3.6 35B A3B offers a significantly larger context window.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Qwen 3.8 27B
Context Window	262K	128K Context
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	3M input / 60K output tokens per 60s	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)
Daily Limit	500M input / 5M output tokens per 24h	1M tokens/day
Capabilities	Vision Reasoning	No specific data
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	35B	27B
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility