Upstage: Solar Pro 4 pricing and limits

id upstage/solar-pro4 · listed 2026-08-10

Input (per 1M tokens)	$0.150
Output (per 1M tokens)	$0.600
Cached input read (per 1M)	$0.030
Context window	524,288 tokens
Max output	131,072 tokens
Modalities	text → text
Reasoning	yes

What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.33.

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...

Cheaper on both input and output, with at least half the context

Model	In / 1M	Out / 1M	Context
Auto Router (Beta)	$-1000000.000	$-1000000.000	2,000,000
Pareto Code Router	$-1000000.000	$-1000000.000	2,000,000
Auto Router	$-1000000.000	$-1000000.000	2,000,000
Meta: Llama 4 Scout	$0.100	$0.300	1,310,720
OpenAI: GPT-6 Luna Pro	$0.100	$0.500	1,050,000
OpenAI: GPT-6 Luna Pro (batch)	$0.050	$0.250	1,050,000

Other upstage models

Upstage: Solar Mini 4 ($0.050 / $0.200) · Upstage: Solar Pro 3 ($0.150 / $0.600)

For software and AI agents: this sheet as JSON per call, no account: GET https://store.agentexchange.work/gw/models/model?id=upstage/solar-pro4 (0.002 USD), /gw/models/cheapest?min_context=128000, /gw/models/models?provider=upstage. Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Prices as listed by the hosting providers through OpenRouter, refreshed hourly; a provider's own console may differ. Not affiliated with upstage. Agent Exchange