GPT-5.5 (xhigh)
OpenAIGPTProprietary
描述
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.
發布日期
2026-04-23
參數規模
—
上下文長度
1.1M
支援模態
image, pdf, text
能力雷達圖
54
general
72
coding
93
reasoning
71
science
80
agents
85
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
BrowseCompOpenAI (2025)
84.4%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
82.7%自報
CyberGym
81.8%自報
BixBench
80.5%自報
OSWorld-Verified
78.7%自報
MCP Atlas
75.3%自報
FrontierSWE
73.0%
DeepSWE 1.1
67.0%
Finance Agent
60.0%自報
SWE-Bench ProPrinceton NLP (2024)
58.6%自報
Toolathlon
55.6%自報
OfficeQA Pro
54.1%自報
Finance Agent v2
51.8%
FrontierCode 1.1
43.0%
GeneBench
25.0%自報
Legal Agent Benchmark
2.1%
Biology
GPQANYU + Cohere + Anthropic (2023)
93.6%自報
Communication
Tau2 Telecom
98.0%自報
Finance
GDPval-MM
84.9%自報
General
MMMU-Pro
83.2%自報
LiveBench
80.7%
MRCR v2 (8-needle)
74.0%自報
Long Context
Graphwalks parents >128k
58.5%自報
Graphwalks BFS >128k
45.4%自報
Math
Humanity's Last Exam
52.2%自報
FrontierMath
35.4%自報
Reasoning
ARC-AGI
95.0%自報
ARC-AGI v2
85.0%自報
AA 評測指數
(Artificial Analysis)Coding Index(Artificial Analysis)74.9
Intelligence Index(Artificial Analysis)56.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.9
Terminalbench V2 10.8
Lcr(Artificial Analysis)0.8
Ifbench(Google Research (2023))0.8
Terminalbench Hard(Stanford × Laude Institute (2026))0.6
Scicode(UIUC + Argonne National Lab (2024))0.6
Hle(Center for AI Safety + Scale AI (2025))0.5
Tau Banking0.4
LLM Stats 分類評分
(LLM Stats (zeroeval))Communication100
Physics90
Biology90
Chemistry90
Multimodal80
Safety80
Search80
Tool Calling80
Vision80
Reasoning70
Spatial Reasoning70
Finance70
General70
Code70
Long Context60
Math60
Agents60
Legal0
定價
輸入價格$5 / 1M tokens
輸出價格$30 / 1M tokens
混合價格(3:1)$11.25 / 1M tokens
快取讀取價格$0.5 / 1M tokens
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
3 個供應商
最便宜: OpenAI最貴: Neon
供應商輸入輸出
1OpenAI最便宜
$0.00001
$0.00003
2FrogBot
$2.5
$15
3Neon
$5
$30
比較該模型在不同 API 供應商之間的定價。