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

Google AI Studio

Intelligence Score 85/100

Context Window 1M Context, 15 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 65/100, Gemini 1.5 Flash outperforms Qwen3.6 35B A3B by 20 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Flash.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Gemini 1.5 Flash
Context Window	262K	1M Context, 15 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	Feb-May 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	3M input / 60K output tokens per 60s	5-30 RPM (varies by model)
Daily Limit	500M input / 5M output tokens per 24h	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	Vision Reasoning	Multimodal
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	35B	~1.5T (estimated)
Limitations	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed