gpt-5.5-pro
OpenAIfamily · GPT 5.5developers.openai.com/api/docs/models/gpt-5.5-pr
Version of GPT-5.5 that produces smarter and more precise responses.
Updated 5 h ago · first seen 11 Sept 2026
model_01M293V774W1B45EE968ACSQ4T
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- gpt-5-5-progpt-5.5-proopenai/gpt-5.5-proIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Official page
Source:OpenAI Platform docsT1observed 15 h agohigh
- API model id
Source:OpenAI Platform docsT1observed 15 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Capabilities
Modalities
- Modalities
- documentimagetext
- Input
- documentimagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 15 h agomedium
Providers & Pricing5
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$180 → $9012 Sept 2026
- OpenRouterfirst observed $18012 Sept 2026
- OpenAI API$180 → $9011 Sept 2026
- OpenAI APIfirst observed $18011 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouter$30 → $1512 Sept 2026
- OpenRouterfirst observed $3012 Sept 2026
- OpenAI API$30 → $1511 Sept 2026
- OpenAI APIfirst observed $3011 Sept 2026
Versions & Artifacts0
Version history
Context window2 changes
11 Sept 2026→11 Sept 2026→12 Sept 2026current
Knowledge cutofffirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline5
Full timeline →OpenRouter lists gpt-5.5-pro at $15 in / $90 out per 1M tokens
openrouterOpenRouter lists gpt-5.5-pro at $30 in / $180 out per 1M tokens
openroutergpt-5.5-pro: modalities changed from ["image", "text"] to ["document", "image", "text"]
Modalitiesimage, text→document, image, textopenroutergpt-5.5-pro: modalities input changed from ["image", "text"] to ["document", "image", "text"]
Input modalitiesimage, text→document, image, textopenroutergpt-5.5-pro: context length changed from 922000 to 1050000
Context window922K tokens→1.05M tokensopenrouter
Change history
Weights availableweights_available1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
24
Source tiers
T1T24 / 20
Freshest observation
5 h ago
Conflicts
None
Source documents 4
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (71/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →