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ModelCap

o1-pro

API only

OpenAI·openai/o1-pro

o1-pro is a language model published by OpenAI. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text, image, file input and returns text. The published context limit is 200K tokens. The catalogue declares support for reasoning, structured outputs.

ModelCap Index · All-versions archive
—
Not scored · 0% support · score interval not available
Market Gravity
19.8
Secondary market signal

Superseded by o3 Pro. It no longer holds a current-board position.

Input
$150
per 1M tokens
Output
$600
per 1M tokens
Context
200K
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
OpenAI$150$600200K——

Other versions (1)

ModelCap Index · All-versions archive

Methodology
—
Not scored · insufficient coverage
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · openai/openai/o1-pro · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Direct benchmark observations
0
Architecture fallback
abstained · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
0.4
Liquidity (providers × uptime)
45.6
Open reach (HF downloads)
—
Surface (context / tools / modalities)
68.3
Freshness
14.6
  • · OpenRouter popularity #291
  • · 1 live provider
  • · Catalogue: context 200000, reasoning, modalities Text/Image/File
  • · First seen 2025-03-19

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
156 models · 94 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
28.3
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
74.0
Evaluation provenance
0.0

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
19.8
OpenRouter weekly popularity
#291 of 298

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Awaiting evaluation

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
45.6

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
14.6

Time since first public availability, on a six-month half-life.

Specification

Context window
200K tokens
Max output
100K tokens
Inputs
Text, Image, File
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
19 Mar 2025
Knowledge cutoff
2023-10-31

Capabilities

  • Supported: Reasoning
  • Not supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated