Atlas / Models / OpenAI / OpenAI: o1-pro

OpenAI: o1-pro✓ Catalog verified

openai/o1-pro

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.

Input price
$150.00 /1M
Output price
$600.00 /1M
Context
200K
Modalities
textimagefile
Released
Mar 19, 2025
Tool calling
Atlas signal
86/100
01

Overview

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.

Access: available through the official OpenAI API. Context window: 200K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifieropenai/o1-pro
ProviderOpenAI
Model typeMultimodal LLM
Context window200K catalog
Input modalitiestext · image · file
Output modalitiestext
ReleasedMar 19, 2025
TokenizerGPT
ModeratedYes
Architecture modalitytext+image+file->text
Supported parameters
include_reasoningmax_tokensreasoningresponse_formatseedstructured_outputs
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for openai/o1-pro as published in the catalog.

$150.00
Input /1M
$600.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.00015$150.00 / 1MPer input token
Completion tokens$0.0006$600.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$195Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool CallingNot advertisedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: o1-pro
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
82signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: o1-pro through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openai/o1-pro",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: o1-pro cost?

$150.00 per 1M input tokens and $600.00 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: o1-pro?

OpenAI: o1-pro supports up to 200K tokens of context.

Does OpenAI: o1-pro support tool / function calling?

OpenAI: o1-pro does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access OpenAI: o1-pro?

Use the official OpenAI API with the model id `openai/o1-pro`. See the Quick start section above for code examples.