TTPI$2.36−7.60%TCPI$3.140.00%Frontier Premium×1.0−0.89%Qwen3 30B A3B Instruct 2507in$0.090$0.100+11.10%Qwen3 VL 30B A3B Instructout$0.520$0.600+15.40%MoonshotAI: Kimi K2.7 Codein$0.706$0.656−7.10%Nemotron 3.5 Lightningin$0.070$0.080+14.30%Z.ai: GLM 5.3 FlashXcached$0.075$0.090+20.00%MoonshotAI: Kimi K3 (batch)cached$0.300$0.228−24.00%Z.ai: GLM 5.3 (batch)cached$0.130$0.120−7.70%Z.ai: GLM 5.2cached$0.103$0.121+17.20%Muse Glimmer 30Bout$1.10$1.20+9.10%Nemotron 3 Nano 30B A3Bout$0.200$0.240+20.00%MoonshotAI: Kimi K3cached$0.303$0.300−0.90%Z.ai: GLM 5.3 Flashcached$0.014$0.018+28.60%

TTPI$2.36−7.60%TCPI$3.140.00%Frontier Premium×1.0−0.89%Qwen3 30B A3B Instruct 2507in$0.090$0.100+11.10%Qwen3 VL 30B A3B Instructout$0.520$0.600+15.40%MoonshotAI: Kimi K2.7 Codein$0.706$0.656−7.10%Nemotron 3.5 Lightningin$0.070$0.080+14.30%Z.ai: GLM 5.3 FlashXcached$0.075$0.090+20.00%MoonshotAI: Kimi K3 (batch)cached$0.300$0.228−24.00%Z.ai: GLM 5.3 (batch)cached$0.130$0.120−7.70%Z.ai: GLM 5.2cached$0.103$0.121+17.20%Muse Glimmer 30Bout$1.10$1.20+9.10%Nemotron 3 Nano 30B A3Bout$0.200$0.240+20.00%MoonshotAI: Kimi K3cached$0.303$0.300−0.90%Z.ai: GLM 5.3 Flashcached$0.014$0.018+28.60%

BETA

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UpstageEfficientLIVE PRICING

Solar Pro 4

text->text

Upstage's flagship Solar. 22B-class dense model; punches above its weight on Korean and English benchmarks.

Solar Pro 4 is a efficient AI model from Upstage. It costs $0.090 per million input tokens and $0.360 per million output tokens (blended $0.171/M), with a 524,288-token context window.

Profile inherited from upstream Solar Pro ↗ — this is a hosted variant of the same open-weights model.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →

INPUT

$0.090/M

per million input tokens

OUTPUT

$0.360/M

per million output tokens

BLENDED 70/30

$0.171/M

unchanged since 3 May

default reference rate · how it is calculated →

CONTEXT

524,288

tokens

What it is good at

Strong Korean coverage
Single-GPU friendly
Open weights variants

Typical use cases

Korean-first production chat
Multilingual self-hosted chat

Benchmarks

vs. best public score

Scores inherited from Solar Pro — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

Multitask academic knowledge across 57 subjects.

Python function synthesis from docstrings.

LMArena Elo1192 Elo

Crowd-sourced head-to-head preference Elo rating.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Upstage

Frontier · 32,000 ctx

in $1.500/Mout $6.000/M

Efficient · 32,000 ctx

in $0.150/Mout $0.600/M

Solar Embedding

Embedding · 4,000 ctx

in $0.100/M

Frequently asked questions

How much does Solar Pro 4 cost?

Solar Pro 4 costs $0.090 per million input tokens and $0.360 per million output tokens, for a blended reference rate of $0.171 per million tokens.

What is Solar Pro 4's context window?

Solar Pro 4 supports up to 524,288 tokens of context in a single request.

What is Solar Pro 4 best for?

Solar Pro 4 is well suited to Strong Korean coverage, Single-GPU friendly and Open weights variants.

Who makes Solar Pro 4?

Solar Pro 4 is developed and served by Upstage.

Terms used on this page

Full glossary →

Token Input tokens Output tokens Price per million tokens Context window Prompt caching Batch API Blended cost