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AITier

GPT-5.2 (xhigh)

OpenAIGPTProprietary

Descripción

GPT‑5.2 introduces substantial gains in professional knowledge work, outperforming experts on GDPval with 70.9% wins or ties, and setting new highs in coding (SWE‑Bench Pro 55.6%), science (GPQA Diamond ~92–93%), math (AIME 2025: 100%), long‑context accuracy up to 256k tokens, and reliable tool‑calling (Tau2 Telecom 98.7%). It rolls out as Instant, Thinking, and Pro—faster, more structured, and less error‑prone—priced at $1.75/1M input and $14/1M output tokens, with Pro variants supporting xhigh reasoning for top‑quality, end‑to‑end execution.

Fecha de lanzamiento
2025-12-11
Parámetros
—
Longitud del contexto
400K
Modalidades
image, text

Radar de capacidades

56
general
81
coding
98
reasoning
66
science
70
agents
85
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica101
39.0
LS
Ranking de codificación36
88.0
AA
Ranking general36
82.0
AA
Ranking multimodal32
55.0
LS
Ciencia42
83.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)65.8%Aut.
MCP Atlas60.6%Aut.
Toolathlon46.3%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)92.4%Aut.

Code

SWE-Bench Verified80.0%Aut.
SWE-Lancer (IC-Diamond subset)74.6%Aut.

Communication

Tau2 Telecom98.7%Aut.
Tau2 Retail82.0%Aut.

General

MMMLU89.6%Aut.
MMMU-Pro79.5%Aut.
LiveBench74.8%

Grounding

ScreenSpot Pro86.3%Aut.

Healthcare

VideoMMMU85.9%Aut.

Math

AIME 2025100.0%Aut.
HMMT 202599.4%Aut.
FrontierMath40.3%Aut.
Humanity's Last Exam34.5%Aut.

Multimodal

CharXiv-R82.1%Aut.

Reasoning

Graphwalks BFS <128k94.0%Aut.
BrowseComp Long Context 128k92.0%Aut.
BrowseComp Long Context 256k89.8%Aut.
Graphwalks parents <128k89.0%Aut.
ARC-AGI86.2%Aut.
ARC-AGI v252.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
99.0
Intelligence Index(Artificial Analysis)
43.3
Aime 25(MAA (Mathematical Association of America))
1.0
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Lcr(Artificial Analysis)
0.8
Ifbench(Google Research (2023))
0.8
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Hle(Center for AI Safety + Scale AI (2025))
0.4

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Physics
90
Language
90
Grounding
90
Healthcare
90
Biology
90
Chemistry
90
Communication
90
Multimodal
80
Reasoning
80
Search
80
Spatial Reasoning
80
Frontend Development
80
General
80
Math
70
Code
70
Tool Calling
70
Vision
70
Agents
60

Precios

Precio de entrada$1.75 / 1M tokens
Precio de salida$14 / 1M tokens
Precio mixto (3:1)$4.813 / 1M tokens
Precio de lectura caché$0.175 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

2 proveedores

Más barato: OpenAIMás caro: Neon
ProveedorEntradaSalida
1OpenAIMás barato
$0
$0.00001
2Neon
$1.75
$14

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis