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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Cloudflare Workers AI

Intelligence Score 76/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 76/100 vs 65/100, Mistral 7B Instruct v0.2 outperforms Qwen3.6 35B A3B by 11 points.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Mistral 7B Instruct v0.2
Context Window	262K	32K
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	3M input / 60K output tokens per 60s	Varies by model
Daily Limit	500M input / 5M output tokens per 24h	10,000 neurons/day
Capabilities	Vision Reasoning	Multilingual
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	35B	7B
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps