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

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 84/100 vs 65/100, Mistral Nemo 12B outperforms Qwen3.6 35B A3B by 19 points.

Clear Winner: Significant performance advantage for Mistral Nemo 12B.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Mistral Nemo 12B
Context Window	262K	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	3M input / 60K output tokens per 60s	Hardware limited
Daily Limit	500M input / 5M output tokens per 24h	Unlimited
Capabilities	Vision Reasoning	Multilingual
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	35B	12B
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration