Capability
58.1/100
field median 59.1
#90 of 230 ranked models
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Data as of September 2, 2026 · How the score is built
Knowledge ranks #8. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
15 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #95.
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
58.1/100
field median 59.1
#90 of 230 ranked models
Price
$1.75input / $14 output
input median $1
blended $7.88
Speed
72tok/s
field median 90 tok/s
First token 96.4 s
Context
400Ktokens
field median 256,000
Reported for this model; direct source link not stored
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-5.2 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 #95 of 143Percentile 34thWeight 22%4 benchmarksVerified | 43.7 | #95 of 143 | 34th | 22% | 4 benchmarks | Verified |
| CodingRank #54 of 148Percentile 64thWeight 20%3 benchmarksVerified | 54.3 | #54 of 148 | 64th | 20% | 3 benchmarks | Verified |
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 52.3 | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank #8 of 57Percentile 88thWeight 12%1 benchmarkReported | 83.7 | #8 of 57 | 88th | 12% | 1 benchmark | Reported |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 58.4 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #18 of 36Percentile 51stWeight 12%4 benchmarksMixed sources | 64.5 | #18 of 36 | 51st | 12% | 4 benchmarks | Mixed sources |
| 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 VerifiedSoftware Engineering Benchmark Verified | Score80% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap16 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score55.6% | Versus best verified row Best verified: Claude Fable 5.1 · 81.2% | Gap25.6 behind | WeightWeighted 10% | Provider exact |
| Vibe Code BenchVibe Code Bench v1.1 | Score53.50% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | Gap17.5 behind | WeightDisplay only | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld-Verified | Score47.3% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap38.8 behind | WeightWeighted 34% | Provider exact |
| BrowseComp | Score65.8% | Versus best verified row Best verified: GPT-5.6 Sol · 92.2% | Gap26.4 behind | WeightWeighted 28% | Provider exact |
| Gert LabsGert Labs Composite Game Benchmark | Score46.54% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap26.4 behind | WeightDisplay only | Benchmark exact |
| JobBench | Score34.3% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap30.6 behind | WeightDisplay only | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score52.9% | Versus best verified row Best verified: GPT-5.6 Sol · 92.5% | Gap39.6 behind | WeightWeighted 31% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score92.4% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap3.1 behind | WeightWeighted 7% | Secondary exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score40.700% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap48.3 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score18.800% | Versus best verified row Best verified: GPT-5.6 Sol · 83.000% | Gap64.2 behind | WeightWeighted 10% | Benchmark exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score79.5% | Versus best verified row Best verified: GPT-5.4 Pro · 94% | Gap14.5 behind | WeightWeighted 45% | Provider exact |
| CharXivCharXiv Reasoning | Score82.1% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap11.4 behind | WeightWeighted 25% | Secondary exact |
| MathVision | Score83.0% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap12.2 behind | WeightDisplay only | Secondary exact |
| V* | Score75.9% | Versus best verified row Best verified: Kimi K2.6 · 96.9% | Gap21 behind | WeightDisplay only | Secondary exact |
This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.
3 dated first-party price records. The newest record lists $14 per million tokens.
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.
Dec 11, 2025 · you are here
GPT-5.2Score 58.1 · $1.75 / $14
Thinking
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-5.2 ranks #90 of 230 on the public leaderboard with a score of 58.09/100. It does not yet have enough sourced coverage for a verified position.
GPT-5.2 is a proprietary model with a 400K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
GPT-5.2 sits in the GPT-5.2 family with GPT-5.2 Instant, GPT-5.2 Pro. 15 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #8, while its lowest eligible position is Agentic at #95. 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-5.2? See the free Radar Brief for what changes next.
GPT-5.2 ranks #90 out of 230 models on the public BenchAlign leaderboard, with a score of 58.09/100. Its evidence status is Estimated, and this profile shows 15 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
GPT-5.2 ranks #8 out of 57 eligible models for knowledge and understanding, with a public category score of 83.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
GPT-5.2 ranks #54 out of 148 eligible models for coding and programming, with a public category score of 54.3/100. 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-5.2 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-5.2 has source-displayable benchmark coverage for reasoning and logic, 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-5.2 ranks #95 out of 143 eligible models for agentic tool use and computer tasks, with a public category score of 43.7/100. 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-5.2 ranks #18 out of 36 eligible models for multimodal and grounded tasks, with a public category score of 64.5/100. 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-5.2 belongs to the GPT-5.2 family. Related tracked variants include GPT-5.2 Instant, GPT-5.2 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-5.2 currently has 28 source-displayable rows across 416 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-5.2 has a reported context window of 400K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Related resources
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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