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 →

Upstage

Intelligence Score 77/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 77/100 vs 65/100, Solar Pro outperforms Qwen3.6 35B A3B by 12 points.

HEAD-TO-HEAD

Feature	Qwen3.6 35B A3B	Solar Pro
Context Window	262K	32K tokens
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	3M input / 60K output tokens per 60s	60 RPM
Daily Limit	500M input / 5M output tokens per 24h	Credit-based
Capabilities	Vision Reasoning	Reasoning
Performance Tier	C-Tier (Good)	B-Tier (Strong)
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	Credits expire after 3 months Focus on document processing Smaller context window (32k)
Key Strengths	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input	Solar Architecture: Depth-Up-Scaling Specialized in OCR and Document Parse Translation capabilities (KO/EN/JA)