OpenAI · Frontier
GPT 5.6 Sol Pro
GPT-5.6 Sol with Pro reasoning mode. Pro mode performs more model work for difficult tasks; reasoning effort remains independently configurable and defaults to medium.
- 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)
- 4.7K tokens
- Longer than 98% of 473 models
Side by side
Compare models
Put GPT 5.6 Sol Pro next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
47.0
Tested at max reasoning effort
Better than 94% of 326 scored models
Indexes
Coding Index
77.4Composite of the coding evaluations
Better than 97% of 168 scored models
Agentic work
AutomationBench-AA
60.1%Workflow automation, penalized for guardrail violations
Better than 82% of 173 scored models
AutomationBench-AA tasks completed
30.3%Workflows finished end to end without a guardrail violation
Better than 86% of 173 scored models
AA-Briefcasev1.1
1,479 EloAgentic knowledge work, rated head to head
Better than 80% of 166 scored models
GDPval-AAv2.1
1,609 EloEconomically valuable occupational tasks, rated head to head
Better than 85% of 187 scored models
Document reasoning
GDP.pdf
27.2%Professional reasoning over PDF documents, all-pass rate
Better than 92% of 171 scored models
AA-LCRv1.1
84.0%Reasoning across long documents
Better than 94% of 309 scored models
MLCR-AA
30.0%Long-context reasoning over medical records
Better than 92% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
49.5%Expert-level questions across academic fields
Better than 94% of 323 scored models
GPQA Diamond
94.1%Graduate-level science questions
Better than 96% of 291 scored models
IFBench
72.7%Following precise output instructions
Better than 80% of 215 scored models
Coding
Terminal-Benchv4.0
39.9%Practical software engineering in a terminal
Better than 85% of 171 scored models
SciCode
57.1%Scientific computing in Python
Better than 80% of 174 scored models
Legacy evaluations
Terminal-Bench Hard
65.9%Earlier terminal task suite
Better than 99% of 212 scored models
τ²-Bench Telecom
85.1%Tool use in a customer-support simulation
Better than 67% of 214 scored models
AA-LCR (unversioned)
84.0%Long-context reasoning, earlier grading
Better than 94% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. GPT 5.6 Sol Pro was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis
- #13Coding20.2%
Ranks among Noumen catalog models on Use cases leaderboards. Only top-20 placements are listed.
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
- 574.6 tok/s
- Faster than 98% of 257 models
- Time to first token
- 26.8 s
- Quicker than 0% of 257 models
- Prompt cache hits
- 46.6%
- About $1.16 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.
- 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.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5.6-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-5.6-sol-pro",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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