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

Groq

Intelligence Score 85/100

Context Window 1k RPD, 10k TPM

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 85/100 vs 65/100, Moonshot Kimi K2 outperforms Qwen3.6 35B A3B by 20 points.

Clear Winner: Significant performance advantage for Moonshot Kimi K2.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Moonshot Kimi K2
Context Window	262K	1k RPD, 10k TPM
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	3M input / 60K output tokens per 60s	30 RPM, 14.4k RPD
Daily Limit	500M input / 5M output tokens per 24h	14,400 Requests/Day
Capabilities	Vision Reasoning	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
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	Test
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	LPU Accelerated Extremely Fast Inference Open Source Models