Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Solar Pro

Upstage

Intelligence Score 77/100

Model Popularity 0 votes

Context Window 512K Context

Pricing Model Commercial / Paid

View Provider Analysis →

Hetzner Inference API

Intelligence Score 65/100

Context Window 262K

Pricing Model Free / Open

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	Solar Pro	Qwen3.6 35B A3B
Context Window	512K Context	262K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Per-second limits by usage tier (see upstage.ai/pricing)	10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit	Credit-based	No daily cap published (free while the API is experimental)
Capabilities	Reasoning	Vision Reasoning
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	35B
Limitations	Credits expire after 3 months Focus on document processing Smaller context window (32k)	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees
Key Strengths	Solar Architecture: Depth-Up-Scaling Specialized in OCR and Document Parse Translation capabilities (KO/EN/JA)	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input