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upstage · Efficient

Solar Mini 4

Added Sep 23, 2026

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Use in the app

Upstage's compact 35B-parameter mixture-of-experts model with 3B active parameters and a 524K context window. Built for fast, cost-efficient agentic tasks, with strong Korean and English support.

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

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.20
Cache read
$0.005

Reference prices as published by the model provider. API example

Specifications

Context window
524.3K
Max output
131.1K
Average output (7 days)
561 tokens
Longer than 53% of 468 models

Side by side

Solar Mini 4 compared

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

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Solar Mini 4upstageThis modelSolar Pro 3upstageRemove
Providerupstageupstage
Discovery tierEfficientEfficient
AddedSep 23, 2026Mar 3, 2026
Limits
Context window524.29KBest131.07K
Max output131.07K—
Average output561 tokens—
Pricing, USD per 1M tokens
Input$0.05Best$0.15
Output$0.20Best$0.60
Cache read$0.005Best$0.015
Performance
Throughput90.6 tok/s—
Time to first token2.2 s—
Request success (24h)89.1%—
Benchmark indexes
Intelligence Index24.1Best7.8
Coding Index—16.2
Capabilities
ToolsYesNo
Structured outputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • Solar Mini 4
  • Solar Pro 3

Intelligence Index

  • Solar Mini 424.1
  • Solar Pro 37.8

Solar Mini 4: Better than 59% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

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

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Solar Mini 4: 22.3%Top
    • Solar Pro 3: 0.5%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

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

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Solar Mini 4: 867 EloTop
    • Solar Pro 3: 99 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Solar Mini 4: 1,085 EloTop
    • Solar Pro 3: 264 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Solar Mini 4: 5.0%Top
    • Solar Pro 3: 1.6%

  • AA-LCRv1.1

    Reasoning across long documents

    • Solar Mini 4: 83.3%Top
    • Solar Pro 3: 32.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Solar Mini 4: 6.7%Top
    • Solar Pro 3: 0.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Solar Mini 4: 25.8%Top
    • Solar Pro 3: 10.3%

  • GPQA Diamond

    Graduate-level science questions

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

  • IFBench

    Following precise output instructions

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

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Solar Mini 4: 1.0%Top
    • Solar Pro 3: 0.0%

  • SciCode

    Scientific computing in Python

    • Solar Mini 4: 47.6%Top
    • Solar Pro 3: 25.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

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

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

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

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Solar Mini 4: 83.3%Top
    • Solar Pro 3: 32.3%

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
90.6 tok/s
Faster than 59% of 253 models
Time to first token
2.2 s
Quicker than 72% of 253 models
Prompt cache hits
22.9%
About $0.0397 per 1M input tokens with caching
Request success (24h)
89.1%
Unstable

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 0.0%
  • 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-mini4",
    "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-mini4",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

upstage

Other upstage models, starting with the same family.