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OpenAI · Frontier

GPT 6.1 Sol Pro

Added Sep 29, 2026

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Use in the app

GPT-6.1 Sol Pro uses the same underlying model as GPT-6.1 Sol with Pro reasoning mode enabled for higher-quality responses on complex tasks.

  • Reasoning
  • Tools
  • Vision
  • Structured output
  • PDF input
Input
Text, Images
Output
Text
Reasoning effort
low · medium · high · xhigh · max
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.00
Output
$10.00
Cache read
$0.10
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)
1.2K tokens
Longer than 76% of 473 models

Side by side

GPT 6.1 Sol Pro compared

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

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GPT 6.1 Sol ProOpenAIThis modelGPT 5.6 Sol ProOpenAIRemove
ProviderOpenAIOpenAI
Discovery tierFrontierFrontier
AddedSep 29, 2026Jul 9, 2026
Limits
Context window1.05M1.05M
Max output128K128K
Average output1.2K tokens4.7K tokens
Pricing, USD per 1M tokens
Input$2.00$2.00
Output$10.00$10.00
Cache read$0.10Best$0.20
Cache write$2.50$2.50
Performance
Throughput—574.6 tok/s
Time to first token—26.8 s
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index—47.0
Coding Index—77.4
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
PDF inputYesYes
Reasoning effortlow, medium, high, xhigh, maxnone, low, medium, high, xhigh, max

Public evaluations

Benchmarks

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

  • GPT 6.1 Sol Pro
  • GPT 5.6 Sol Pro

Intelligence Index

  • GPT 6.1 Sol Pro—
  • GPT 5.6 Sol Pro47.0
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 77.4

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 60.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 30.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 1,479 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 1,609 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 27.2%

  • AA-LCRv1.1

    Reasoning across long documents

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 84.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 30.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 49.5%

  • GPQA Diamond

    Graduate-level science questions

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 94.1%

  • IFBench

    Following precise output instructions

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 72.7%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 39.9%

  • SciCode

    Scientific computing in Python

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 57.1%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 65.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 85.1%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GPT 6.1 Sol Pro: —
    • GPT 5.6 Sol Pro: 84.0%

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.

Prompt cache hits
27.8%
About $1.47 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 63.6%
  • 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-6.1-sol-pro",
    "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-6.1-sol-pro",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

Other OpenAI models, starting with the same family.