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OpenAI · Frontier

GPT 6 Sol

Added Sep 22, 2026

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Use in the app

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, reasoning, coding, and agentic workflows.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
none · low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.00
Output
$10.00
Cache read
$0.20
Cache write
$2.50

Reference prices as published by the model provider. API example

Specifications

Context window
1.1M
Max output
128K
Average output (7 days)
315 tokens
Longer than 34% of 473 models

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TryGemini 3.8 FlashMuse Spark 1.2DeepSeek V4.1 Flash ThinkingAll 3

Public evaluations

Benchmarks

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

Intelligence Index

39.8

Tested at medium reasoning effort

Better than 84% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    58.0%

    Workflow automation, penalized for guardrail violations

    Better than 75% of 173 scored models

  • AutomationBench-AA tasks completed

    28.2%

    Workflows finished end to end without a guardrail violation

    Better than 79% of 173 scored models

  • AA-Briefcasev1.1

    1,148 Elo

    Agentic knowledge work, rated head to head

    Better than 57% of 166 scored models

  • GDPval-AAv2.1

    1,346 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 60% of 187 scored models

Document reasoning

  • GDP.pdf

    23.8%

    Professional reasoning over PDF documents, all-pass rate

    Better than 85% of 171 scored models

  • AA-LCRv1.1

    82.3%

    Reasoning across long documents

    Better than 87% of 309 scored models

  • MLCR-AA

    28.9%

    Long-context reasoning over medical records

    Better than 90% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    41.0%

    Expert-level questions across academic fields

    Better than 78% of 323 scored models

Coding

  • Terminal-Benchv4.0

    18.7%

    Practical software engineering in a terminal

    Better than 71% of 171 scored models

  • SciCode

    53.8%

    Scientific computing in Python

    Better than 67% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    82.3%

    Long-context reasoning, earlier grading

    Better than 87% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. GPT 6 Sol was tested at medium reasoning effort; compare scores measured at the same effort.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.

Prompt cache hits
39.8%
About $1.28 per 1M input tokens with caching
Request success (24h)
100.0%
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 85.7%
  • 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": "openai/gpt-6-sol",
    "reasoning_effort": "medium",
    "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="openai/gpt-6-sol",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.