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AITier

GPT-5.4 (low)

OpenAIGPTProprietary

描述

GPT-5.4 is OpenAI's most capable and efficient frontier model for professional work. It combines industry-leading coding capabilities with native computer-use, up to 1M tokens of context, full-resolution vision processing, tool search for large tool ecosystems, and improved reasoning across spreadsheets, presentations, and documents. It is the most token-efficient reasoning model in the GPT-5 series.

发布日期
2026-03-05
参数规模
—
上下文长度
1.1M
支持模态
image, pdf, text

能力雷达图

38
general
50
coding
87
reasoning
63
science
70
agents
85
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜72
46.0
LS
代码能力榜72
77.0
AA
通用能力榜111
69.0
AA
多模态榜40
50.0
LS
科学能力67
77.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)82.7%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)75.1%自报
OSWorld-Verified75.0%自报
MCP Atlas67.2%自报
SWE-Bench ProPrinceton NLP (2024)57.7%自报
Finance Agent56.0%自报
Toolathlon54.6%自报
FrontierSWE54.0%
DeepSWE 1.152.0%
Legal Agent Benchmark0.4%

Biology

GPQANYU + Cohere + Anthropic (2023)92.8%自报

Communication

Tau2 Telecom98.9%自报

General

MMMU-Pro81.2%自报
LiveBench80.3%

Long Context

Graphwalks parents >128k32.4%自报
Graphwalks BFS >128k21.4%自报

Math

FrontierMath47.6%自报
Humanity's Last Exam39.8%自报

Multimodal

OmniDocBench 1.589.1%自报

Reasoning

ARC-AGI93.7%自报
Graphwalks BFS <128k93.0%自报
Graphwalks parents <128k89.8%自报
ARC-AGI v273.3%自报

AA 评测指数

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
40.2
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.7
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.3

LLM Stats 分类评分

(LLM Stats (zeroeval))
Communication
100
Physics
90
Structured Output
90
Biology
90
Chemistry
90
Multimodal
80
Search
80
Vision
80
Reasoning
70
Spatial Reasoning
70
Tool Calling
70
Math
60
Finance
60
General
60
Agents
60
Code
60
Long Context
40
Healthcare
30
Legal
0

定价

输入价格$2.5 / 1M tokens
输出价格$15 / 1M tokens
混合价格(3:1)$5.625 / 1M tokens
缓存读取价格$0.25 / 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
$0.00002

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis