o1-pro — OpenAI | Modeldex

o1-pro

Active

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...

Updated 4 days agoStructured data from Modeldex catalog

VisionAgenticLong context

Knowledge cutoff

Oct 31, 2023(2.5 years ago)

API release

Mar 19, 2025(1.1 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

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...

History

o1-pro became available via the OpenAI API on 2025-03-19.

Training & availability

Training data has a knowledge cutoff of 2023-10-31 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 200K tokens.
Max output: 100K tokens.
Input modalities: text, image, file.

Recommended for: vision, agentic, long-context.

Limitations

The knowledge cutoff is 30 months old — this model will not know about recent events, releases, or API changes.
At $600.00/1M output tokens, this is in the premium tier — verify cost-per-value for high-volume workloads.

Pricing

Input: $150.0000 per 1M tokens
Output: $600.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the openai API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
    model="o1-pro",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $150/1M

Output tokens / month2.0M

@ $600/1M

Input cost

$750

5.0M × $150/1M

Output cost

$1200

2.0M × $600/1M

Total / month

$1950

$23400 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
OpenAI	2tok/s	10.21s	$150	$600	200K	—	json

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Premium pricing

Priced like a frontier model. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $487.5/1M
Pricing breakdown: $150/1M in
$600/1M out

Community ratings

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