OpenAI · Balanced
OpenAI o1 Pro
OpenAI's flagship series of reasoning models for solving hard problems. The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide consistently better answers. o1 pro comes with a massive 100,000 word output window.
- Vision
- PDF input
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $150.00
- Output
- $600.00
- Cache read
- $75.00
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 100K
- Average output (7 days)
- 34 tokens
- Longer than 2% of 468 models
Side by side
OpenAI o1 Pro compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| OpenAI o1 ProOpenAIThis model | Kimi K2 0711 FastMoonshotRemove | |
|---|---|---|
| Provider | OpenAI | Moonshot |
| Discovery tier | Balanced | Open weights |
| Added | Jan 25, 2025 | Dec 15, 2025 |
| Limits | ||
| Context window | 200KBest | 131.07K |
| Max output | 100KBest | 16.38K |
| Average output | 34 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $150.00 | $0.40Best |
| Output | $600.00 | $1.80Best |
| Cache read | $75.00 | — |
| Benchmark indexes | ||
| Intelligence Index | 12.4 | 12.7Best |
| Math Index | — | 57.0 |
| Capabilities | ||
| Vision | Yes | No |
| PDF input | Yes | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- OpenAI o1 Pro
- Kimi K2 0711 Fast
Intelligence Index
- OpenAI o1 Pro12.4
- Kimi K2 0711 Fast12.7
OpenAI o1 Pro: Better than 26% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 57.0
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 53.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 7.4%
GPQA Diamond
Graduate-level science questions
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 76.6%
MMLU-Pro
Multi-subject knowledge and reasoning
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 82.4%
IFBench
Following precise output instructions
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 41.5%
Coding
LiveCodeBench
Recent competitive programming problems
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 55.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 57.0%
AIME
Competition mathematics
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 69.3%
MATH-500
Competition math problems
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 97.1%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 15.9%
τ²-Bench Telecom
Tool use in a customer-support simulation
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 61.1%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- OpenAI o1 Pro: —
- Kimi K2 0711 Fast: 53.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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/o1-pro",
"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/o1-pro",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
Related models
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