Models / OpenAI/ o1-pro

o1-pro

OpenAI · released Mar 19, 2025

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$150.00
Output
$600.00
Cached
None held

List price · per 1M tokens · OpenAI at 200K context · source ↗

Our take

Written Sep 5, 2026

o1-pro is OpenAI's premium reasoning model, built for complex multi-step problems rather than quick chat. It handles up to 200,000 tokens in a single request and accepts text, images and files, though it comes at a steep price with no measured quality data yet.

Who should pick it

Choose this when you need OpenAI's most capable reasoning on documents, images or files up to 200,000 tokens, and where output quality justifies premium pricing for deep analysis or complex problem-solving. Skip it if cost matters, if you need fast responses, or if you want verified benchmark scores to guide your choice.

The case for it

  • Extremely long context for a reasoning model: up to 200,000 tokens in a single request.
  • Accepts text, images and files, making it suitable for multimodal analysis tasks.

The case against it

  • Very expensive relative to typical text models, with no cheaper alternative in our data.
  • Slow throughput on OpenAI's own infrastructure: 8 tokens per second.
  • No measured quality scores in our data, so there is no independent verification of its capabilities.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

OpenAI, through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 200K of context.

per 1M tokens
$150.00 in / $600.00 out
Context served
200K
Throughput
~11 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$150.00 / $600.00checked 4 hours ago200Knot measuredUnknownUnknownUnknown
OpenAIThrough OpenRouter$150.00 / $600.00checked 4 hours ago200K100K max reply11 tok/sNoYesunknown periodUnknown

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✗✓✓
OpenAIThrough OpenRouter✗✓✓

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

02

Models people weigh against o1-pro

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Mar 19, 2025Announcedo1-pro announced by OpenAI

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no cached-input rate for any of its listings.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
openai-o1-pro

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us