Skip to content
ModelCap

GPT-5.5 Pro

Limited evidenceNo linked weights7d #13 → #14

OpenAI·#14 of 352 on the current board

GPT-5.5 Pro is a language model from OpenAI. It ranks #14 of 352 on ModelCap's current board, with a thinly supported Index score of 80.6, partly measured on public benchmarks and partly modeled. Its score range of 74.5–86.8 spans positions #3–#30. It is listed at $30.00 per million input tokens and $180 per million output tokens from one provider. It reads up to 1M tokens of context, with no downloadable weights linked in the current source data.

Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology

ModelCap Index · Current board
80.6#14
Partly measured on public benchmarks and partly modeled · range 74.5–86.8
Evidence as of 4 Nov 2026, 23:07 UTC
Market Gravity
19.4Increased by 0.1
Secondary market signal
Input
$30.00
per 1M tokens
Output
$180
per 1M tokens
Context
1M
tokens
Providers
1
2 endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
OpenAIflexCheapest$15.00$90.001M——
OpenAI$30.00$1801M——

Other versions (3)

ModelCap Index · Current board

Methodology
80.6
Partly measured on public benchmarks and partly modeled
Current board
#14 of 352

Limited evidence. Measured on only 1 public benchmark, with limited support, so the score is less certain than a broadly measured one. What this label means

Score range
74.5–86.8
Rank range
#3–#30
Evidence as of
4 Nov 2026, 23:07 UTC
Benchmarks used
ARC-AGI-2 Verified
Technical details
Public rank basis
Measured · blended (measured)
Evidence label
Measured · blended · higher pro tier of GPT-5.5 (80.1) (93%); shrunk 1.2 toward the measured corpus
Index support
2.1% · weak
Identity binding
Exact catalogue product · openai/openai/gpt-5.5-pro · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
1
Qualified Index evidence point
80.6
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
80.6 ± 4.8
Independent share
3%
Shrink toward corpus
-1.2
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%
Specialist board measurement
1 specialist-board observation at 2.1% support
73.4 ± 27.63%
Tier of a measured base · not independent
higher pro tier of GPT-5.5 (80.1)
82.1 ± 5.093%
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
73.4
Evidence status
provisional · 2% mass
General preference
—
Coding
—
Agents & tools
—
Reasoning
73.4
Evidence breadth
3%
Evidence coverage
2%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
1.7
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
100.0
Freshness
47.4
  • · OpenRouter popularity #307
  • · 1 live provider
  • · Catalogue: context 1050000, reasoning, tools, modalities File/Image/Text
  • · First seen 2026-04-24

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

BES evidence selected · measured input only

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.

Deployment readiness

Metadata index
31.6
limited · 50% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
60.0
Evaluation provenance
37.9

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, measured provider uptime, 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
19.4
OpenRouter weekly popularity
#307 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%
1.7

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%
47.4

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

Specification

Model ID
openai/gpt-5.5-pro
Context window
1M tokens
Declared output cap
128K 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
File, Image, Text
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
24 Apr 2026
Knowledge cutoff
2025-12-01

Capabilities

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

Benchmark leaderboards featuring GPT-5.5 Pro

All leaderboards
Public benchmark boards on which GPT-5.5 Pro has a published result
LeaderboardScoreSource rankConfigurationPublished
ARC-AGI-2 leaderboardARC Prize Foundation84.6%#32 of 280High4 Nov 2026

Alternatives to GPT-5.5 Pro, by the numbers

Ranked neighbours

Models within 3 places of #14 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.

GPT-5.5 Pro: common questions

How does GPT-5.5 Pro rank among AI models?

GPT-5.5 Pro holds ModelCap Index position #14 of 352 ranked language models as of 6 November 2026, with an Index score of 80.6 (interval 74.5–86.8); evidence: measured · blended. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does GPT-5.5 Pro cost per 1M tokens?

GPT-5.5 Pro is listed at $30.00 per 1M input tokens and $180 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 $150 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 GPT-5.5 Pro?

GPT-5.5 Pro has a published context window of 1M tokens (1,050,000). The snapshot lists a 128,000 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 GPT-5.5 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 GPT-5.5 Pro?

One provider serves GPT-5.5 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 GPT-5.5 Pro been evaluated on?

GPT-5.5 Pro has published results on 1 public board tracked by ModelCap as of 6 November 2026: ARC-AGI-2 84.6% (#32 of 280). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was GPT-5.5 Pro released?

GPT-5.5 Pro first appeared in the catalogue on 24 Apr 2026, with a published knowledge cutoff of 2025-12-01. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.