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upstage · Efficient

Solar Pro 4

Added Aug 11, 2026

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Use in the app

Upstage's Solar Pro 4 is a long-context language model for agentic workflows, office productivity, document-intensive work, and coding. This variant keeps reasoning disabled for faster direct responses.

  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.03
Output
$0.12
Cache read
$0.006

Reference prices as published by the model provider. API example

Specifications

Context window
524.3K
Max output
131.1K
Average output (7 days)
546 tokens
Longer than 51% of 465 models

Side by side

Solar Pro 4 compared

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

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Solar Pro 4upstageThis modelSolar Mini 4upstageRemove
Providerupstageupstage
Discovery tierEfficientEfficient
AddedAug 11, 2026Sep 23, 2026
Limits
Context window524.29K524.29K
Max output131.07K131.07K
Average output546 tokens561 tokens
Pricing, USD per 1M tokens
Input$0.03Best$0.05
Output$0.12Best$0.20
Cache read$0.006$0.005Best
Performance
Throughput101.4 tok/sBest90.8 tok/s
Time to first token3.1 s2.2 sBest
Request success (24h)99.9%Best0.0%
Benchmark indexes
Intelligence Index26.6Best24.1
Capabilities
ToolsYesYes
Structured outputYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Solar Pro 4
  • Solar Mini 4

Intelligence Index

  • Solar Pro 426.6
  • Solar Mini 424.1

Solar Pro 4: Better than 67% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Solar Pro 4: 13.6%
    • Solar Mini 4: 22.3%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Solar Pro 4: 2.4%Top
    • Solar Mini 4: 2.4%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Solar Pro 4: 1,093 EloTop
    • Solar Mini 4: 867 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Solar Pro 4: 1,106 EloTop
    • Solar Mini 4: 1,085 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Solar Pro 4: 7.0%Top
    • Solar Mini 4: 5.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Solar Pro 4: 70.7%
    • Solar Mini 4: 83.3%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Solar Pro 4: —
    • Solar Mini 4: 6.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Solar Pro 4: 29.8%Top
    • Solar Mini 4: 25.8%

  • GPQA Diamond

    Graduate-level science questions

    • Solar Pro 4: 89.1%
    • Solar Mini 4: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Solar Pro 4: 0.0%
    • Solar Mini 4: 1.0%Top

  • SciCode

    Scientific computing in Python

    • Solar Pro 4: 48.0%Top
    • Solar Mini 4: 47.6%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Solar Pro 4: 70.7%
    • Solar Mini 4: 83.3%Top

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
101.4 tok/s
Faster than 61% of 251 models
Time to first token
3.1 s
Quicker than 57% of 251 models
Prompt cache hits
0.9%
About $0.0298 per 1M input tokens with caching
Request success (24h)
99.9%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 97.5%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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-pro4",
    "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-pro4",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

upstage

Other upstage models, starting with the same family.