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GPT-5.2

EstablishedReleased Dec 11, 2025ProprietaryReasoning400K context

Released Dec 11, 2025 see all recent releases

Decision reading
GPT-5.2 scores 58.1 out of 100 and ranks #90 of 230. This profile shows 15 source-displayable benchmark rows; its strongest eligible category is Knowledge at #8. API pricing is $1.75 input and $14 output per million tokens.

Data as of September 2, 2026 · How the score is built

Strongest published evidence

Knowledge ranks #8. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Validate before choosing

15 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #95.

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

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

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-5.2 category percentile values

  • Agentic34th percentile
  • Coding64th percentile
  • ReasoningNot eligible
  • Knowledge88th percentile
  • MathNot eligible
  • MultilingualNot eligible
  • Multimodal51st percentile
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#95/143
  2. Coding#54/148
  3. ReasoningNot ranked
  4. Knowledge#8/57
  5. MathNot ranked
  6. MultilingualNot ranked
  7. Multimodal#18/36
  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-5.2 · 58.1 score · $7.88 blended per million tokens
405060708090$0.50$1$5$10$25↘ frontierGPT-5.2

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. Agentic4/4 verified
  2. Coding3/3 verified
  3. Reasoning1/1 verified
  4. Knowledge0/1 verified
  5. Math2/2 verified
  6. MultilingualNot measured
  7. Multimodal1/4 verified
  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.

API model ID
Not published
Context window
400K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
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 #95 of 143Percentile 34thWeight 22%4 benchmarksVerified43.7
CodingRank #54 of 148Percentile 64thWeight 20%3 benchmarksVerified54.3
ReasoningRank Not rankedWeight 17%1 benchmarkVerified52.3
KnowledgeRank #8 of 57Percentile 88thWeight 12%1 benchmarkReported83.7
MathRank Not rankedWeight 5%2 benchmarksVerified58.4
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank #18 of 36Percentile 51stWeight 12%4 benchmarksMixed sources64.5
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

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.

Coding3 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore80%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap16 behindWeightWeighted 16%
SWE-bench ProScore55.6%Versus best verified row

Best verified: Claude Fable 5.1 · 81.2%

Gap25.6 behindWeightWeighted 10%
Vibe Code BenchVibe Code Bench v1.1Score53.50%Versus best verified row

Best verified: Claude Opus 4.7 · 71.00%

Gap17.5 behindWeightDisplay only
Agentic4 rows
Agentic benchmark values, best verified comparison, weight, and source status
OSWorld-VerifiedScore47.3%Versus best verified row

Best verified: Qwen3.8 Max · 86.1%

Gap38.8 behindWeightWeighted 34%
BrowseCompScore65.8%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap26.4 behindWeightWeighted 28%
Gert LabsGert Labs Composite Game BenchmarkScore46.54%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap26.4 behindWeightDisplay only
Benchmark exact
JobBenchScore34.3%Versus best verified row

Best verified: Muse Spark 1.3 · 64.9%

Gap30.6 behindWeightDisplay only
Benchmark exact
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score52.9%Versus best verified row

Best verified: GPT-5.6 Sol · 92.5%

Gap39.6 behindWeightWeighted 31%
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore92.4%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap3.1 behindWeightWeighted 7%
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score40.700%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap48.3 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score18.800%Versus best verified row

Best verified: GPT-5.6 Sol · 83.000%

Gap64.2 behindWeightWeighted 10%
Multimodal4 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore79.5%Versus best verified row

Best verified: GPT-5.4 Pro · 94%

Gap14.5 behindWeightWeighted 45%
CharXivCharXiv ReasoningScore82.1%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap11.4 behindWeightWeighted 25%
MathVisionScore83.0%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

Gap12.2 behindWeightDisplay only
V*Score75.9%Versus best verified row

Best verified: Kimi K2.6 · 96.9%

Gap21 behindWeightDisplay only

Published price history

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.

09172026-022026-042026-07Output priceInput price

3 dated first-party price records. The newest record lists $14 per million tokens.

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. Dec 11, 2025 · you are here

    GPT-5.2

    Score 58.1 · $1.75 / $14

Thinking

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-5.2 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.

Radar

GPT-5.2 release history

Full release history

Radar confirmed these at the source. Already tracking GPT-5.2? See the free Radar Brief for what changes next.

Frequently asked questions

How does GPT-5.2 perform overall in AI benchmarks?

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.

Is GPT-5.2 good for knowledge and understanding?

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.

Is GPT-5.2 good for coding and programming?

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.

Is GPT-5.2 good for mathematics?

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.

Is GPT-5.2 good for reasoning and logic?

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.

Is GPT-5.2 good for agentic tool use and computer tasks?

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.

Is GPT-5.2 good for multimodal and grounded tasks?

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.

Which sibling models are related to GPT-5.2?

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.

Does GPT-5.2 have full benchmark coverage on BenchLM?

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.

What is the context window size of GPT-5.2?

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.

Compare GPT-5.2 with every tracked model409 comparisons

Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.

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