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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llamafile

Intelligence Score 64/100

Context Window Local

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 65/100 vs 64/100, Qwen3.6 35B A3B outperforms TinyLlama by 1 point.

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

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	TinyLlama
Context Window	262K	Local
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	Hardware dependent
Daily Limit	500M input / 5M output tokens per 24h	Unlimited
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	Undisclosed
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server