Capability
63.1/100
field median 58.1
#53 of 232 ranked models
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Data as of September 4, 2026 · How the score is built
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Agentic ranks #24. Particularly useful for coding agents, browser research, and computer-use workflows.
6 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
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
The dashed outline is median of 6 nearest peers.
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.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #24 of 151Percentile 85thWeight 22%1 benchmarkVerified | 60.6 | #24 of 151 | 85th | 22% | 1 benchmark | Verified |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #36 of 181Percentile 81stWeight 12%2 benchmarksVerified | 61.1 | #36 of 181 | 81st | 12% | 2 benchmarks | Verified |
| MathRank Not rankedWeight 5%3 benchmarksVerified | 70.2 | Not ranked | Not available | 5% | 3 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score90.1% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap2.1 behind | WeightWeighted 25% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score57.2% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap7.8 behind | WeightWeighted 35% | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score43.1% | Versus best verified row Best verified: Claude Fable 5.1 · 60.9% | Gap17.8 behind | WeightWeighted 10% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score51.000% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap38 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score39.600% | Versus best verified row Best verified: GPT-6 Astra · 97.600% | Gap58 behind | WeightWeighted 10% | Benchmark exact |
| FrontierMath (legacy)FrontierMath legacy aggregate | Score52.4% | Versus best verified row Best verified: GPT-5.6 Sol · 89% | Gap36.6 behind | WeightDisplay only | Provider exact |
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.
Apr 23, 2026 · you are here
GPT-5.5 ProScore 63.1 · $30 / $180
Pro
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.
OpenAI · Model release
Radar confirmed these at the source. Already tracking GPT-5.5 Pro? See the free Radar Brief for what changes next.
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.
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.
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.
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.
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.
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.
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.
Related resources
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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