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AITier

GPT-5.5 (low)

OpenAIGPTProprietary

Descripción

GPT-5.5 is OpenAI's smartest model yet, designed for real work across agentic coding, computer use, knowledge work, and early scientific research. It matches GPT-5.4 per-token latency in real-world serving while reaching a much higher level of intelligence and using significantly fewer tokens to complete the same tasks. GPT-5.5 supports a 1M-token context window in the API and a 400K-token context window in Codex, with state-of-the-art results on Terminal-Bench 2.0, OSWorld-Verified, GDPval, FrontierMath, and CyberGym.

Fecha de lanzamiento
2026-04-23
Parámetros
—
Longitud del contexto
1.1M
Modalidades
image, pdf, text

Radar de capacidades

42
general
59
coding
91
reasoning
66
science
80
agents
85
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica17
61.0
LS
Ranking de codificación51
82.0
AA
Ranking general77
75.0
AA
Ciencia53
80.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)84.4%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)82.7%Aut.
CyberGym81.8%Aut.
BixBench80.5%Aut.
OSWorld-Verified78.7%Aut.
MCP Atlas75.3%Aut.
FrontierSWE73.0%
DeepSWE 1.167.0%
Finance Agent60.0%Aut.
SWE-Bench ProPrinceton NLP (2024)58.6%Aut.
Toolathlon55.6%Aut.
OfficeQA Pro54.1%Aut.
Finance Agent v251.8%
FrontierCode 1.143.0%
GeneBench25.0%Aut.
Legal Agent Benchmark2.1%

Biology

GPQANYU + Cohere + Anthropic (2023)93.6%Aut.

Communication

Tau2 Telecom98.0%Aut.

Finance

GDPval-MM84.9%Aut.

General

MMMU-Pro83.2%Aut.
LiveBench80.7%
MRCR v2 (8-needle)74.0%Aut.

Long Context

Graphwalks parents >128k58.5%Aut.
Graphwalks BFS >128k45.4%Aut.

Math

Humanity's Last Exam52.2%Aut.
FrontierMath35.4%Aut.

Reasoning

ARC-AGI95.0%Aut.
ARC-AGI v285.0%Aut.

Índices de evaluación AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
60.9
Intelligence Index(Artificial Analysis)
44.5
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Lcr(Artificial Analysis)
0.8
Terminalbench V2 1
0.7
Ifbench(Google Research (2023))
0.6
Terminalbench Hard(Stanford × Laude Institute (2026))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Hle(Center for AI Safety + Scale AI (2025))
0.3
Tau Banking
0.2

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Communication
100
Physics
90
Biology
90
Chemistry
90
Multimodal
80
Safety
80
Search
80
Tool Calling
80
Vision
80
Reasoning
70
Spatial Reasoning
70
Finance
70
General
70
Code
70
Long Context
60
Math
60
Agents
60
Legal
0

Precios

Precio de entrada$5 / 1M tokens
Precio de salida$30 / 1M tokens
Precio mixto (3:1)$11.25 / 1M tokens
Precio de lectura caché$0.5 / 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

1 proveedores

ProveedorEntradaSalida
1OpenAI
$0.00001
$0.00003

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis