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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Kilo AI Gateway

Intelligence Score 65/100

Context Window 1M Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

Equal intelligence scores (65/100), but Reflection Beam 1.0 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	Reflection Beam 1.0
Context Window	262K	1M Context
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 requests, 4M input / 100K output tokens per 60s (per API key)	200 requests/hour per IP on free models (anonymous use allowed)
Daily Limit	No daily cap published (free while the API is experimental)	Default free models only
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	Free capacity and limits can change; verify on the provider site Listed from community submissions - partly verified
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	OpenAI-compatible API Multi-model access