OpenAI · Frontier
GPT 6.1 Sol Pro
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.
| GPT 6.1 Sol ProOpenAIThis model | GPT 6 LunaOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Frontier | Efficient |
| Added | Sep 29, 2026 | Sep 22, 2026 |
| Limits | ||
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| Average output | 1.2K tokens | 120 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.00 | $0.10Best |
| Output | $10.00 | $0.50Best |
| Cache read | $0.10 | $0.01Best |
| Cache write | $2.50 | $0.13Best |
| Performance | ||
| Throughput | — | 32.3 tok/s |
| Time to first token | — | 1.5 s |
| Request success (24h) | 100.0%Best | 99.9% |
| Benchmark indexes | ||
| Intelligence Index | — | 29.9 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | low, medium, high, xhigh, max | none, 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 6 Luna
Intelligence Index
- GPT 6.1 Sol Pro—
- GPT 6 Luna29.9
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 40.5%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 10.2%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 1,097 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 1,263 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 13.8%
AA-LCRv1.1
Reasoning across long documents
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 78.3%
MLCR-AA
Long-context reasoning over medical records
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 18.3%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 28.3%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 2.5%
SciCode
Scientific computing in Python
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 50.9%
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT 6.1 Sol Pro: —
- GPT 6 Luna: 78.3%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- GPT 6.1 Sol Pro
- GPT 6 Luna
| Leaderboard | GPT 6.1 Sol Pro | GPT 6 Luna |
|---|---|---|
| ARC-AGI-3 (Default harness) | Not in top 20 | #18 · 0.2% |
Ranks among Noumen catalog models on ARC Prize leaderboards. Only top-20 placements are listed.ARC Prize
- GPT 6.1 Sol Pro
- GPT 6 Luna
| Leaderboard | GPT 6.1 Sol Pro | GPT 6 Luna |
|---|---|---|
| SVG | Not in top 20 | #16 · 1250 |
Ranks among Noumen catalog models on Design Arena leaderboards. Only top-20 placements are listed.Design Arena
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.
- 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-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
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