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Upstage: Solar Pro 4

Source description (English)

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...

View source on OpenRouter
Overview

Model specifications

Context
524,288 tokens
Maximum output
131,072 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.09
per 1M tokens
Output
$0.36
per 1M tokens
Cache read
$0.018
per 1M tokens
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
medium
Capabilities
max, xhigh, high, medium, low, minimal, none
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"upstage/solar-pro4","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
Reasoning

No · max · xhigh · high · medium · low · minimal · none

API

Supported API parameters

frequency_penaltyinclude_reasoningmax_tokensparallel_tool_callspresence_penaltyreasoningreasoning_effortresponse_formatstructured_outputstemperaturetool_choicetoolstop_p
Available providers

2 providers

Checked: September 19, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Upstage

Not provided
Context
524K
Maximum output
131K
Input
$0.09
Output
$0.36
Cache read
$0.018
Cache write
Not provided

Upstage

Not provided
Context
524K
Maximum output
131K
Input
$0.09
Output
$0.36
Cache read
$0.018
Cache write
Not provided
upstage

2 models

All models
upstage logoupstage

Upstage: Solar Mini 4

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response...

Context
524K
Input
text
Output
text
Input: $0.05Output: $0.2per 1M tokens
View model details →
upstage logoupstage

Upstage: Solar Pro 3

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...

Context
131K
Input
text
Output
text
Input: $0.15Output: $0.6per 1M tokens
View model details →