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ModelCap

o3 Pro

No linked weights6.9d #67 → #68

OpenAI·#68 of 352 on the current board·cheaper than #14 GPT-5.5 Pro

o3 Pro is a language model from OpenAI. It ranks #68 of 352 on ModelCap's current board, with an Index score of 63.5, modeled from public metadata, not measured. Its score range of 57.3–69.8 spans positions #44–#97. It is listed at $20.00 per million input tokens and $80.00 per million output tokens from one provider. It reads up to 200K tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
63.5#68
Modeled from public metadata, not measured · range 57.3–69.8
Market Gravity
17.1
Secondary market signal
Input
$20.00
per 1M tokens
Output
$80.00
per 1M tokens
Context
200K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
OpenAI$20.00$80.00200K——

Other versions (1)

ModelCap Index · Current board

Methodology
63.5
Modeled from public metadata, not measured
Current board
#68 of 352
Score range
57.3–69.8
Rank range
#44–#97
Technical details
Public rank basis
Modeled · tier sibling (architecture)
Evidence label
Modeled · tier sibling · higher pro tier of o3 (62) (96%); shrunk 0.5 toward the measured corpus
Index support
20.0% · limited
Identity binding
Exact catalogue product · openai/openai/o3-pro · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Qualified Index evidence point
63.5
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
63.5 ± 4.9
Independent share
0%
Shrink toward corpus
-0.5
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 210 held-out anchors
53.0 ± 23.84%
Tier of a measured base · not independent
higher pro tier of o3 (62)
64.0 ± 5.096%
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)
0.6
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
88.3
Freshness
14.1
  • · OpenRouter popularity #327
  • · 1 live provider
  • · Catalogue: context 200000, reasoning, tools, modalities Text/File/Image
  • · First seen 2025-06-10

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
221 models · 129 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
30.1
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
0.0

Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

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

Market activity

Venue coverage
Market Gravity
17.1
OpenRouter weekly popularity
#327 of 339

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

No matched Arena rating

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%
0.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.4

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%
14.1

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

Specification

Model ID
openai/o3-pro
Context window
200K tokens
Declared output cap
100K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, File, Image
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
10 Jun 2025
Knowledge cutoff
2024-06-30

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated

Alternatives to o3 Pro, by the numbers

Ranked neighbours

Models within 3 places of #68 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked OpenAI models

The same publisher's other current models with a public Index position.

o3 Pro: common questions

How does o3 Pro rank among AI models?

o3 Pro holds ModelCap Index position #68 of 352 ranked language models as of 6 November 2026, with an Index score of 63.5 (interval 57.3–69.8); evidence: modeled · tier sibling. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does o3 Pro cost per 1M tokens?

o3 Pro is listed at $20.00 per 1M input tokens and $80.00 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $80.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of o3 Pro?

o3 Pro has a published context window of 200K tokens (200,000). The snapshot lists a 100,000 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is o3 Pro open-weight?

No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.

Which API providers serve o3 Pro?

One provider serves o3 Pro through OpenRouter as of 6 November 2026: OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has o3 Pro been evaluated on?

o3 Pro's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 6 November 2026. The evidence panel names each source and its publication date.

When was o3 Pro released?

o3 Pro first appeared in the catalogue on 10 Jun 2025, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.