Capability
73.3/100
field median 58.1
#8 of 232 ranked models
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Data as of September 4, 2026 · How the score is built
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Knowledge ranks #7. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
42 published rows leave some tracked benchmark slots empty. Multimodal & Grounded is its lowest eligible category at #19.
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
73.3/100
field median 58.1
#8 of 232 ranked models
Price
$5input / $30 output
input median $1
cached $0.50 · blended $17.50
Speed
84tok/s
field median 92 tok/s
First token 64.16 s
Context
1Mtokens
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 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 #15 of 151Percentile 91stWeight 22%13 benchmarksVerified | 63.9 | #15 of 151 | 91st | 22% | 13 benchmarks | Verified |
| CodingRank #8 of 183Percentile 96thWeight 20%9 benchmarksVerified | 67.7 | #8 of 183 | 96th | 20% | 9 benchmarks | Verified |
| ReasoningRank #15 of 22Percentile 33rdWeight 17%4 benchmarksVerified | 63.5 | #15 of 22 | 33rd | 17% | 4 benchmarks | Verified |
| KnowledgeRank #7 of 181Percentile 97thWeight 12%6 benchmarksVerified | 73.3 | #7 of 181 | 97th | 12% | 6 benchmarks | Verified |
| MathRank Not rankedWeight 5%3 benchmarksVerified | 69.6 | Not ranked | Not available | 5% | 3 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #19 of 48Percentile 62ndWeight 12%3 benchmarksVerified | 71.3 | #19 of 48 | 62nd | 12% | 3 benchmarks | Verified |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Coding 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 |
|---|---|---|---|---|---|
| SWE-bench Pro | Score58.6% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap22.6 behind | WeightWeighted 25% | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score85.3% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap5.2 behind | WeightWeighted 15% | |
| cursorBench32 | Score58.4% | Versus best verified row Best verified: Claude Fable 5.1 · 73.4% | Gap15 behind | WeightWeighted 10% | Benchmark exact |
| Terminal-Bench 2.0 | Score82.0% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap9.9 behind | WeightDisplay only | Benchmark exact |
| Vibe Code BenchVibe Code Bench v1.1 | Score69.85% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | Gap1.2 behind | WeightDisplay only | Benchmark exact |
| React Native Evals | Score84.7% | Versus best verified row Best verified: Composer 2 · 96.1% | Gap11.4 behind | WeightDisplay only | Benchmark exact |
| cursorBench31 | Score59.2% | Versus best verified row Best verified: Claude Fable 5 · 70.6% | Gap11.4 behind | WeightDisplay only | Benchmark exact |
| FrontierCode 1.1 Main | Score43.0% | Versus best verified row Best verified: Claude Fable 5 · 53.5% | Gap10.5 behind | WeightDisplay only | Benchmark exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score82.6% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap14.4 behind | WeightDisplay only | Verified |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score82% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap9.9 behind | WeightWeighted 30% | Benchmark exact |
| BrowseComp | Score84.4% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap7.8 behind | WeightWeighted 25% | Provider exact |
| OSWorld-Verified | Score78.7% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap7.4 behind | WeightWeighted 25% | Provider exact |
| OSWorld 2.0 | Score13.0% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap59.6 behind | WeightWeighted 10% | Benchmark exact |
| CyberGym | Score81.8% | Versus best verified row Best verified: Fugu Cyber · 86.9% | Gap5.1 behind | WeightDisplay only | Provider exact |
| MCP Atlas | Score75.3% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | Gap12.8 behind | WeightDisplay only | Provider exact |
| Toolathlon | Score55.6% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap20 behind | WeightDisplay only | Provider exact |
| τ²-bench resultsτ²-Bench Tool-Agent-User Evaluation | Score98% | Versus best verified row Best verified: GPT-5.4 · 98.9% | Gap0.9 behind | WeightDisplay only | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score72.93% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap0 behind | WeightDisplay only | Benchmark exact |
| ResearchClawBench | Score17.0% | Versus best verified row Best verified: Claude Opus 4.8 · 21.1% | Gap4.1 behind | WeightDisplay only | Benchmark exact |
| JobBench | Score42.7% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap22.2 behind | WeightDisplay only | Benchmark exact |
| ExploitGym | Score13.4% | Versus best verified row Best verified: GPT-6 Astra · 42.4% | Gap29 behind | WeightDisplay only | Benchmark exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score76.4% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap10.9 behind | WeightDisplay only |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score85% | Versus best verified row Best verified: GPT-6 Astra · 95% | Gap10 behind | WeightWeighted 25% | Provider exact |
| ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3 | Score0.4% | Versus best verified row Best verified: GPT-6 Astra · 62.7% | Gap62.3 behind | WeightWeighted 15% | Benchmark exact |
| MRCR v2 64K-128KOpenAI MRCR v2 8-needle 64K-128K | Score83.1% | Versus best verified row Best verified: Gemini 3.7 Flash · 97% | Gap13.9 behind | WeightDisplay only | Provider exact |
| MRCR v2 128K-256KOpenAI MRCR v2 8-needle 128K-256K | Score87.5% | Versus best verified row Best verified: GPT-5.5 · 87.5% | GapBest verified | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score52.2% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap12.8 behind | WeightWeighted 35% | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score41.4% | Versus best verified row Best verified: Claude Fable 5.1 · 60.9% | Gap19.5 behind | WeightWeighted 10% | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score88.1% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap4.3 behind | WeightWeighted 10% | Verified |
| GPQAGraduate-Level Google-Proof Q&A | Score93.6% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap2.4 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score93.6% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap2.4 behind | WeightDisplay only | Provider exact |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score93.2% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap2.3 behind | WeightDisplay only |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score51.700% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap37.3 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score35.400% | Versus best verified row Best verified: GPT-6 Astra · 97.600% | Gap62.2 behind | WeightWeighted 10% | Benchmark exact |
| FrontierMath (legacy)FrontierMath legacy aggregate | Score51.7% | Versus best verified row Best verified: GPT-5.6 Sol · 89% | Gap37.3 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score81.2% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap2.4 behind | WeightWeighted 40% | Provider exact |
| OfficeQA Pro | Score54.1% | Versus best verified row Best verified: Claude Opus 5 · 66.9% | Gap12.8 behind | WeightWeighted 25% | Provider exact |
| MMMU-Pro w/ PythonMMMU-Pro with Python | Score83.2% | Versus best verified row Best verified: GPT-5.6 Sol · 84.6% | Gap1.4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SEC-Bench Pro | Score45.8% | Versus best verified row Best verified: GPT-6 Astra · 85.4% | Gap39.6 behind | WeightDisplay only | Provider exact |
| Atomic network attacksAtomic Network Attack Simulation | Score100% | Versus best verified row Best verified: GPT-6 Astra · 100% | GapBest verified | WeightDisplay only | Benchmark exact |
| Atomic vulnerability researchAtomic Vulnerability Research and Exploitation | Score92% | Versus best verified row Best verified: GPT-6 Astra · 100% | Gap8 behind | WeightDisplay only | Benchmark exact |
| Atomic evasionAtomic Evasion | Score54% | Versus best verified row Best verified: GPT-5.6 Sol · 56% | Gap2 behind | WeightDisplay only | Benchmark 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.
Mar 5, 2026
GPT-5.4Score 71.0 · $2.5 / $15
Apr 23, 2026 · you are here
GPT-5.5Score 73.3 · $5 / $30
Jul 9, 2026
GPT-5.6 SolScore 79.6 · $5 / $30
Base entry
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-5.5 ranks #8 of 232 on the public leaderboard with a score of 73.27/100. Its source-verified position is #7 of 130.
GPT-5.5 is a proprietary model with a 1M 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, supplemented by CursorBench v3.1 and CursorBench v3.2's highest published GPT-5.5 setting. BenchLM maps only directly comparable public benchmark rows from the launch tables. JobBench uses the Codex CLI GPT-5.5 row reported by the JobBench paper. ExploitGym is normalized from 120 successful exploits out of 898 tasks in the public paper.
GPT-5.5 sits in the GPT-5.5 family with GPT-5.5 Pro. Its explicit predecessor is GPT-5.4. 42 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #7, while its lowest eligible position is Multimodal & Grounded at #19. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
OpenAI · Model release
Radar confirmed these at the source. Already tracking GPT-5.5? See the free Radar Brief for what changes next.
GPT-5.5 ranks #8 out of 232 models on the public BenchAlign leaderboard, with a score of 73.27/100. Its evidence status is Supported, and this profile shows 42 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
GPT-5.5 ranks #7 out of 181 eligible models for knowledge and understanding, with a public category score of 73.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
GPT-5.5 ranks #8 out of 183 eligible models for coding and programming, with a public category score of 67.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
GPT-5.5 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 ranks #15 out of 22 eligible models for reasoning and logic, with a public category score of 63.5/100. 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 ranks #15 out of 151 eligible models for agentic tool use and computer tasks, with a public category score of 63.9/100. 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 ranks #19 out of 48 eligible models for multimodal and grounded tasks, with a public category score of 71.3/100. 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 belongs to the GPT-5.5 family. Related tracked variants include GPT-5.5 Pro. 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 currently has 62 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 has a documented context window of 1M. 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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