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GPT-5.5 (low)

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

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜17
61.0
LS
程式碼能力榜51
82.0
AA
通用能力榜77
75.0
AA
科學能力53
80.0
AA

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
CyberGym81.8%自報
BixBench80.5%自報
OSWorld-Verified78.7%自報
MCP Atlas75.3%自報
FrontierSWE73.0%
DeepSWE 1.167.0%
Finance Agent60.0%自報
SWE-Bench ProPrinceton NLP (2024)58.6%自報
Toolathlon55.6%自報
OfficeQA Pro54.1%自報
Finance Agent v251.8%
FrontierCode 1.143.0%
GeneBench25.0%自報
Legal Agent Benchmark2.1%

Biology

GPQANYU + Cohere + Anthropic (2023)93.6%自報

Communication

Tau2 Telecom98.0%自報

Finance

GDPval-MM84.9%自報

General

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

Long Context

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

Math

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

Reasoning

ARC-AGI95.0%自報
ARC-AGI v285.0%自報

AA 評測指數

(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

LLM Stats 分類評分

(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

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

1 個供應商

供應商輸入輸出
1OpenAI
$0.00001
$0.00003

比較該模型在不同 API 供應商之間的定價。

外部連結