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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

Side by side

GPT 6 Sol compared

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

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GPT 6 SolOpenAIThis modelMuse Spark 1.2MetaRemove
ProviderOpenAIMeta
Discovery tierFrontierFrontier
AddedSep 22, 2026Aug 5, 2026
Limits
Context window1.05MBest1M
Max output128KBest65.54K
Average output315 tokens172 tokens
Pricing, USD per 1M tokens
Input$2.00$1.25Best
Output$10.00$4.25Best
Cache read$0.20$0.15Best
Cache write$2.50—
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index39.8Best39.6
Coding Index—72.2
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Audio inputNoYes
Video inputNoYes
Parallel toolsNoYes
Reasoning effortnone, low, medium, high, xhigh, maxminimal, low, medium, high, xhigh

Public evaluations

Benchmarks

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

  • GPT 6 Sol
  • Muse Spark 1.2

Intelligence Index

  • GPT 6 Sol39.8
  • Muse Spark 1.239.6

GPT 6 Sol tested at medium reasoning effort

GPT 6 Sol: Better than 84% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT 6 Sol: —
    • Muse Spark 1.2: 72.2

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GPT 6 Sol: 58.0%Top
    • Muse Spark 1.2: 40.6%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GPT 6 Sol: 28.2%Top
    • Muse Spark 1.2: 15.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GPT 6 Sol: 1,148 Elo
    • Muse Spark 1.2: 1,327 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT 6 Sol: 1,346 Elo
    • Muse Spark 1.2: 1,475 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GPT 6 Sol: 23.8%Top
    • Muse Spark 1.2: 17.4%

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 6 Sol: 82.3%Top
    • Muse Spark 1.2: 79.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • GPT 6 Sol: 28.9%Top
    • Muse Spark 1.2: 7.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 6 Sol: 41.0%
    • Muse Spark 1.2: 45.5%Top

  • GPQA Diamond

    Graduate-level science questions

    • GPT 6 Sol: —
    • Muse Spark 1.2: 90.4%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GPT 6 Sol: 18.7%Top
    • Muse Spark 1.2: 7.1%

  • SciCode

    Scientific computing in Python

    • GPT 6 Sol: 53.8%
    • Muse Spark 1.2: 57.4%Top

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 6 Sol: 82.3%Top
    • Muse Spark 1.2: 79.0%

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.