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GPT-5.5 (Xhigh)

OpenAIGPTProprietary

Description

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.

Date de sortie
2026-04-23
Paramètres
—
Longueur du contexte
1.1M
Modalités
image, pdf, text

Radar de capacités

40
general
72
coding
93
reasoning
71
science
80
agents
85
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique38
50.0
LS
Classement codage34
93.0
AA
Classement général34
79.0
AA
Classement multimodal21
62.0
LS
Science35
84.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BixBench80.5%Aut.
Finance Agent60.0%Aut.
Toolathlon55.6%Aut.
OfficeQA Pro54.1%Aut.
Finance Agent v251.8%
GeneBench25.0%Aut.

Code

CyberGym81.8%Aut.
FrontierSWE73.0%
DeepSWE 1.167.0%

Communication

Tau2 Telecom98.0%Aut.

General

GDPval-MM84.9%Aut.

Legal

Legal Agent Benchmark2.1%

Long Context

MRCR v2 (8-needle)74.0%Aut.

Math

LiveBench80.7%
FrontierMath35.4%Aut.

Multimodal

OSWorld-Verified78.7%Aut.

Reasoning

ARC-AGI95.0%Aut.
GPQANYU + Cohere + Anthropic (2023)93.6%Aut.
ARC-AGI v285.0%Aut.
BrowseCompOpenAI (2025)84.4%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)82.7%Aut.
MCP Atlas75.3%Aut.
SWE-Bench ProPrinceton NLP (2024)58.6%Aut.
Graphwalks parents >128k58.5%Aut.
Humanity's Last Exam52.2%Aut.
Graphwalks BFS >128k45.4%Aut.
FrontierCode 1.143.0%

Vision

MMMU-Pro83.2%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
93.9
Gpqa(NYU + Cohere + Anthropic (2023))
93.5
Lcr(Artificial Analysis)
84.3
Terminalbench V2 1
84.3
Ifbench(Google Research (2023))
75.9
Coding Index(Artificial Analysis)
74.9
Terminalbench Hard(Stanford × Laude Institute (2026))
60.6
Scicode(UIUC + Argonne National Lab (2024))
55.8
Hle(Center for AI Safety + Scale AI (2025))
45.8
Tau Banking
39.0
Intelligence Index(Artificial Analysis)
38.4
Terminalbench V4 0
14.6

Scores par catégorie 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

Tarification

Prix d'entrée$5 / 1M tokens
Prix de sortie$30 / 1M tokens
Prix mixte (3:1)$11.25 / 1M tokens
Prix de lecture cache$0.5 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

3 fournisseurs

Moins cher: OpenAIPlus cher: Neon
FournisseurEntréeSortie
1OpenAIMoins cher
$0.00001
$0.00003
2FrogBot
$2.5
$15
3Neon
$5
$30

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes

LLM StatsArtificial Analysis