跳轉到主要內容
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.

發布日期
2026-03-05
參數規模
—
上下文長度
1.1M
支援模態
image, pdf, text

能力雷達圖

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜72
46.0
LS
程式碼能力榜72
77.0
AA
通用能力榜111
69.0
AA
多模態榜40
50.0
LS
科學能力67
77.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)92.8%自報

Communication

Tau2 Telecom98.9%自報

General

MMMU-Pro81.2%自報
LiveBench80.3%

Long Context

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

Math

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

Multimodal

OmniDocBench 1.589.1%自報

Reasoning

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

AA 評測指數

(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 分類評分

(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

定價

輸入價格$2.5 / 1M tokens
輸出價格$15 / 1M tokens
混合價格(3:1)$5.625 / 1M tokens
快取讀取價格$0.25 / 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
$0.00002

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis