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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.

发布日期
2026-04-23
参数规模
上下文长度
1.1M
支持模态
image, pdf, text

能力雷达图

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

排行榜排名

领域#排名分数来源
智能体能力模型榜18
61.0
LS
代码能力榜48
82.0
AA
通用能力榜74
75.0
AA
科学能力50
80.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)93.6%自报

Communication

Tau2 Telecom98.0%自报

Finance

GDPval-MM84.9%自报

General

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

Long Context

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

Math

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

Reasoning

ARC-AGI95.0%自报
ARC-AGI v285.0%自报

AA 评测指数

(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 分类评分

(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

定价

输入价格$5 / 1M tokens
输出价格$30 / 1M tokens
混合价格(3:1)$11.25 / 1M tokens
缓存读取价格$0.5 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1OpenAI
$0.00001
$0.00003

比较该模型在不同 API 供应商之间的定价。

外部链接