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

View Provider Analysis →

A-TIER

Requesty

Intelligence Score 83/100

Context Window 262K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, inclusionAI Ling 3.1 Flash outperforms Qwen3.6 35B A3B by 18 points.

Clear Winner: Significant performance advantage for inclusionAI Ling 3.1 Flash.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	inclusionAI Ling 3.1 Flash
Context Window	262K	262K Context
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~75-79%
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)	20 RPM on free models (60 RPM for paying orgs)
Daily Limit	No daily cap published (free while the API is experimental)	200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models
Capabilities	Vision Reasoning	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
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	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing