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GPT-5.5 Pro

CurrentReleased Apr 23, 2026ProprietaryReasoning1.05M context

Released Apr 23, 2026 see all recent releases

Decision reading
GPT-5.5 Pro scores 63.1 out of 100 and ranks #53 of 232. This profile shows 6 source-displayable benchmark rows; its strongest eligible category is Agentic at #24. API pricing is $30 input and $180 output per million tokens.

Data as of September 4, 2026 · How the score is built

Strongest published evidence

Agentic ranks #24. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

6 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

63.1/100

field median 58.1

#53 of 232 ranked models

Price

$30input / $180 output

input median $1

blended $105

Speed

Not measured

field median 92 tok/s

Time to first token not measured

Context

1.05Mtokens

field median 256,000

Maximum output length is tracked separately

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

GPT-5.5 Pro category percentile values

  • Agentic85th percentile
  • CodingNot eligible
  • ReasoningNot eligible
  • Knowledge81st percentile
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#24/151
  2. CodingNot ranked
  3. ReasoningNot ranked
  4. Knowledge#36/181
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelGPT-5.5 Pro · 63.1 score · $105 blended per million tokens
30405060708090$0.50$1$5$10$25$50$100↘ frontierGPT-5.5 Pro

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. CodingNot measured
  3. ReasoningNot measured
  4. Knowledge2/2 verified
  5. Math3/3 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, imageOpenAI model catalog
Output modalities
textOpenAI model catalog
Parameters
Not disclosed by the provider
Availability
OpenAI Responses APIOpenAI model catalog
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordOpenAI pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #24 of 151Percentile 85thWeight 22%1 benchmarkVerified60.6
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank #36 of 181Percentile 81stWeight 12%2 benchmarksVerified61.1
MathRank Not rankedWeight 5%3 benchmarksVerified70.2
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Agentic opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
BrowseCompScore90.1%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap2.1 behindWeightWeighted 25%
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore57.2%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap7.8 behindWeightWeighted 35%
HLE w/o toolsHumanity's Last Exam without toolsScore43.1%Versus best verified row

Best verified: Claude Fable 5.1 · 60.9%

Gap17.8 behindWeightWeighted 10%
Math3 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score51.000%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap38 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score39.600%Versus best verified row

Best verified: GPT-6 Astra · 97.600%

Gap58 behindWeightWeighted 10%
FrontierMath (legacy)FrontierMath legacy aggregateScore52.4%Versus best verified row

Best verified: GPT-5.6 Sol · 89%

Gap36.6 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 23, 2026 · you are here

    GPT-5.5 Pro

    Score 63.1 · $30 / $180

Pro

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

GPT-5.5 Pro ranks #53 of 232 on the public leaderboard with a score of 63.07/100. It does not yet have enough sourced coverage for a verified position.

GPT-5.5 Pro is a proprietary model with a 1.05M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Official exact-value snapshot from OpenAI's April 23, 2026 GPT-5.5 launch post. BenchLM stores the sparse Pro rows as exact provider-published references without inferring missing categories.

GPT-5.5 Pro sits in the GPT-5.5 family with GPT-5.5. 6 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #24, while its lowest eligible position is Knowledge at #36. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

GPT-5.5 Pro release history

Full release history

Radar confirmed these at the source. Already tracking GPT-5.5 Pro? See the free Radar Brief for what changes next.

Frequently asked questions

How does GPT-5.5 Pro perform overall in AI benchmarks?

GPT-5.5 Pro ranks #53 out of 232 models on the public BenchAlign leaderboard, with a score of 63.07/100. Its evidence status is Estimated, and this profile shows 6 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is GPT-5.5 Pro good for knowledge and understanding?

GPT-5.5 Pro ranks #36 out of 181 eligible models for knowledge and understanding, with a public category score of 61.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is GPT-5.5 Pro good for mathematics?

GPT-5.5 Pro has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is GPT-5.5 Pro good for agentic tool use and computer tasks?

GPT-5.5 Pro ranks #24 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 60.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Which sibling models are related to GPT-5.5 Pro?

GPT-5.5 Pro belongs to the GPT-5.5 family. Related tracked variants include GPT-5.5. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does GPT-5.5 Pro have full benchmark coverage on BenchLM?

No. GPT-5.5 Pro currently has 7 source-displayable rows across 422 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of GPT-5.5 Pro?

GPT-5.5 Pro has a documented context window of 1.05M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare GPT-5.5 Pro with every tracked model410 comparisons

Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.

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