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upstage · Efficient

Solar Pro 3

Added Mar 3, 2026

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Use in the app

Upstage's Solar Pro 3 is a Mixture-of-Experts (MoE) language model with 102B total parameters and 12B active parameters per forward pass, optimized for Korean with strong English and Japanese support.

Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.15
Output
$0.60
Cache read
$0.015

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
—

Side by side

Solar Pro 3 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Solar Pro 3upstageThis modelSolar Pro 4 ThinkingupstageRemove
Providerupstageupstage
Discovery tierEfficientEfficient
AddedMar 3, 2026Aug 11, 2026
Limits
Context window131.07K524.29KBest
Max output—131.07K
Average output—1.7K tokens
Pricing, USD per 1M tokens
Input$0.15$0.03Best
Output$0.60$0.12Best
Cache read$0.015$0.006Best
Performance
Request success (24h)—99.6%
Benchmark indexes
Intelligence Index7.826.6Best
Coding Index16.2—
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
Reasoning effort—none, low, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Solar Pro 3
  • Solar Pro 4 Thinking

Intelligence Index

  • Solar Pro 37.8
  • Solar Pro 4 Thinking26.6

Solar Pro 3: Better than 12% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Solar Pro 3: 16.2
    • Solar Pro 4 Thinking: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Solar Pro 3: 0.5%
    • Solar Pro 4 Thinking: 13.6%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Solar Pro 3: 0.0%
    • Solar Pro 4 Thinking: 2.4%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Solar Pro 3: 99 Elo
    • Solar Pro 4 Thinking: 1,093 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Solar Pro 3: 264 Elo
    • Solar Pro 4 Thinking: 1,106 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Solar Pro 3: 1.6%
    • Solar Pro 4 Thinking: 7.0%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • Solar Pro 3: 32.3%
    • Solar Pro 4 Thinking: 70.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Solar Pro 3: 0.6%
    • Solar Pro 4 Thinking: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Solar Pro 3: 10.3%
    • Solar Pro 4 Thinking: 29.8%Top

  • GPQA Diamond

    Graduate-level science questions

    • Solar Pro 3: 72.4%
    • Solar Pro 4 Thinking: 89.1%Top

  • IFBench

    Following precise output instructions

    • Solar Pro 3: 71.2%
    • Solar Pro 4 Thinking: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Solar Pro 3: 0.0%Top
    • Solar Pro 4 Thinking: 0.0%Top

  • SciCode

    Scientific computing in Python

    • Solar Pro 3: 25.5%
    • Solar Pro 4 Thinking: 48.0%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Solar Pro 3: 7.6%
    • Solar Pro 4 Thinking: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Solar Pro 3: 86.3%
    • Solar Pro 4 Thinking: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Solar Pro 3: 32.3%
    • Solar Pro 4 Thinking: 70.7%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "upstage/solar-pro-3",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="upstage/solar-pro-3",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

upstage

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