Upstage: Solar Pro 3 pricing and limits

id upstage/solar-pro-3 · listed 2026-01-27

Input (per 1M tokens)	$0.150
Output (per 1M tokens)	$0.600
Cached input read (per 1M)	$0.015
Context window	131,072 tokens
Max output	117,964 tokens
Modalities	text → text
Reasoning	yes

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

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

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 4 ($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-pro-3 (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