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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 Mini 4 ThinkingupstageRemove
Providerupstageupstage
Discovery tierEfficientEfficient
AddedMar 3, 2026Sep 23, 2026
Limits
Context window131.07K524.29KBest
Max output—131.07K
Average output—2.8K tokens
Pricing, USD per 1M tokens
Input$0.15$0.05Best
Output$0.60$0.20Best
Cache read$0.015$0.005Best
Benchmark indexes
Intelligence Index7.8—
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 Mini 4 Thinking

Intelligence Index

  • Solar Pro 37.8
  • Solar Mini 4 Thinking—

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 Mini 4 Thinking: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Solar Pro 3: 0.5%
    • Solar Mini 4 Thinking: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Solar Pro 3: 0.0%
    • Solar Mini 4 Thinking: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Solar Pro 3: 99 Elo
    • Solar Mini 4 Thinking: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Solar Pro 3: 264 Elo
    • Solar Mini 4 Thinking: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Solar Pro 3: 1.6%
    • Solar Mini 4 Thinking: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Solar Pro 3: 32.3%
    • Solar Mini 4 Thinking: —

  • MLCR-AA

    Long-context reasoning over medical records

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

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Solar Pro 3: 10.3%
    • Solar Mini 4 Thinking: —

  • GPQA Diamond

    Graduate-level science questions

    • Solar Pro 3: 72.4%
    • Solar Mini 4 Thinking: —

  • IFBench

    Following precise output instructions

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

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Solar Pro 3: 0.0%
    • Solar Mini 4 Thinking: —

  • SciCode

    Scientific computing in Python

    • Solar Pro 3: 25.5%
    • Solar Mini 4 Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

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

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

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

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Solar Pro 3: 32.3%
    • Solar Mini 4 Thinking: —

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.