NOUMENOpen app
NOUMEN

upstage · Efficient

Solar Pro 3

Added Mar 3, 2026

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

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

Compare models

Put Solar Pro 3 next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

TryGPT 4.1 NanoLlama 3.3 70BQwen2.5 72BAll 3

Public evaluations

Benchmarks

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

Intelligence Index

7.8

Better than 12% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    16.2

    Composite of the coding evaluations

    Better than 11% of 168 scored models

Agentic work

  • AutomationBench-AA

    0.5%

    Workflow automation, penalized for guardrail violations

    Better than 5% of 173 scored models

  • AutomationBench-AA tasks completed

    0.0%

    Workflows finished end to end without a guardrail violation

    Better than 0% of 173 scored models

  • AA-Briefcasev1.1

    99 Elo

    Agentic knowledge work, rated head to head

    Better than 1% of 166 scored models

  • GDPval-AAv2.1

    264 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 3% of 187 scored models

Document reasoning

  • GDP.pdf

    1.6%

    Professional reasoning over PDF documents, all-pass rate

    Better than 7% of 171 scored models

  • AA-LCRv1.1

    32.3%

    Reasoning across long documents

    Better than 14% of 309 scored models

  • MLCR-AA

    0.6%

    Long-context reasoning over medical records

    Better than 1% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    10.3%

    Expert-level questions across academic fields

    Better than 32% of 323 scored models

  • GPQA Diamond

    72.4%

    Graduate-level science questions

    Better than 30% of 291 scored models

  • IFBench

    71.2%

    Following precise output instructions

    Better than 73% of 215 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    25.5%

    Scientific computing in Python

    Better than 5% of 174 scored models

Legacy evaluations

  • Terminal-Bench Hard

    7.6%

    Earlier terminal task suite

    Better than 18% of 212 scored models

  • τ²-Bench Telecom

    86.3%

    Tool use in a customer-support simulation

    Better than 70% of 214 scored models

  • AA-LCR (unversioned)

    32.3%

    Long-context reasoning, earlier grading

    Better than 14% of 309 scored models

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

Other upstage models, starting with the same family.