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 32K tokens

Pricing Model Commercial / Paid

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 77/100, meta/llama-3-70b-instruct outperforms Solar Pro by 6 points.

HEAD-TO-HEAD

Feature	Solar Pro	meta/llama-3-70b-instruct
Context Window	32K tokens	8K tokens
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	Varies by model
Daily Limit	Credit-based	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	70b
Limitations	Credits expire after 3 months Focus on document processing Smaller context window (32k)	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Solar Architecture: Depth-Up-Scaling Specialized in OCR and Document Parse Translation capabilities (KO/EN/JA)	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models