OpenAI · Frontier
GPT 6.1 Sol
GPT-6.1 Sol delivers near-Astra performance at a lower cost for complex coding, computer use, and professional work. It supports text and image input, tool calling, structured outputs, and reasoning from low through max.
- 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)
- 388 tokens
- Longer than 39% of 473 models
Side by side
Compare models
Put GPT 6.1 Sol 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
47.8
Tested at medium reasoning effort
Better than 95% of 326 scored models
Agentic work
AutomationBench-AA
62.6%Workflow automation, penalized for guardrail violations
Better than 89% of 173 scored models
AutomationBench-AA tasks completed
30.1%Workflows finished end to end without a guardrail violation
Better than 85% of 173 scored models
AA-Briefcasev1.1
1,359 EloAgentic knowledge work, rated head to head
Better than 74% of 166 scored models
GDPval-AAv2.1
1,450 EloEconomically valuable occupational tasks, rated head to head
Better than 71% of 187 scored models
Document reasoning
GDP.pdf
30.0%Professional reasoning over PDF documents, all-pass rate
Better than 95% of 171 scored models
AA-LCRv1.1
83.3%Reasoning across long documents
Better than 92% of 309 scored models
MLCR-AA
32.2%Long-context reasoning over medical records
Better than 95% of 121 scored models
Reasoning and knowledge
Humanity’s Last Exam
49.9%Expert-level questions across academic fields
Better than 95% of 323 scored models
Coding
Terminal-Benchv4.0
48.0%Practical software engineering in a terminal
Better than 92% of 171 scored models
SciCode
53.2%Scientific computing in Python
Better than 62% of 174 scored models
Legacy evaluations
AA-LCR (unversioned)
83.3%Long-context reasoning, earlier grading
Better than 92% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. GPT 6.1 Sol was tested at medium reasoning effort; compare scores measured at the same effort.Artificial Analysis
- #14Combined13.8%
Ranks among Noumen catalog models on Combined leaderboards. Only top-20 placements are listed.
- #7Math24.4%
Ranks among Noumen catalog models on Use cases leaderboards. Only top-20 placements are listed.
- #12Coding1537.2
- #7Math1513.4
- #15Instruction Following1485.0
- #15English1491.0
- #18Expert1516.5
- #12French1507.5
- #16Hard Prompts English1509.5
- #14Industry Business And Management And Financial Operations1485.4
- #18Industry Entertainment And Sports And Media1459.4
- #15Industry Legal And Government1496.5
- #2Industry Mathematical1537.7
- #9Industry Software And It Services1528.5
- #19Spanish1477.3
- #5Vision Style Control Overall1293.5
- #2Vision Style Control · Creative Writing Vision1311.5
- #13Vision Style Control · Diagram1319.0
- #14Vision Style Control · English1279.4
- #1Vision Style Control · Homework1358.3
- #4WebDev Overall1749.3
- #5WebDev · Image To Webdev1701.7
- #4WebDev · Webdev1749.3
- #1WebDev · Webdev-html1793.8
- #5WebDev · Webdev-react1753.6
- #6Search Overall1233.1
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- #7FrontierCode Main50.2%
- #11FrontierCode Extended60.4%
Ranks among Noumen catalog models on FrontierCode leaderboards. Only top-20 placements are listed.FrontierCode
- #3Epoch Capabilities Index168.4
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
- #6ARC-AGI-198.5%
- #2ARC-AGI-294.2%
- #2ARC-AGI-3 (Default harness)52.7%
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
- #4Game Development1407
- #10Website1315
- #8UI Component1339
- #17Data Visualization1291
- #53D1436
- #4Web Apps1306
- #8Mobile Apps1237
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
- #8Usage Share2.4%
Ranks among Noumen catalog models on Usage 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
- 125.5 tok/s
- Faster than 72% of 259 models
- Time to first token
- 5.0 s
- Quicker than 30% of 259 models
- Prompt cache hits
- 96.9%
- About $0.16 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- 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-6.1-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-6.1-sol",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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