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GPT-5.4 nano (medium)

OpenAIGPTProprietary

描述

GPT-5.4 nano is OpenAI's cheapest GPT-5.4-class model for simple high-volume tasks. It is optimized for classification, data extraction, ranking, and lightweight coding subagents, while preserving strong reasoning, multimodal understanding, and tool use for latency-sensitive workloads.

發布日期
2026-03-17
參數規模
上下文長度
400K
支援模態
image, text

能力雷達圖

28
general
38
coding
76
reasoning
51
science
60
agents
85
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜147
22.0
LS
程式碼能力榜144
65.0
AA
通用能力榜196
56.0
AA
多模態榜58
43.0
LS
科學能力191
56.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

MCP Atlas56.1%自報
SWE-Bench ProPrinceton NLP (2024)52.4%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)46.3%自報
OSWorld-Verified39.0%自報
Finance Agent v238.2%
Toolathlon35.5%自報

Biology

GPQANYU + Cohere + Anthropic (2023)82.8%自報

Communication

Tau2 Telecom92.5%自報

General

LiveBench70.1%
MMMU-Pro66.1%自報
MRCR v2 (8-needle)33.1%自報

Math

Humanity's Last Exam24.3%自報

Multimodal

OmniDocBench 1.575.8%自報

Reasoning

Graphwalks BFS <128k73.4%自報
Graphwalks parents <128k50.8%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
30.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.6
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.2

LLM Stats 分類評分

(LLM Stats (zeroeval))
Spatial Reasoning
9
Vision
6
Reasoning
3
General
2
Communication
90
Physics
80
Structured Output
80
Biology
80
Chemistry
80
Multimodal
70
Tool Calling
60
Long Context
50
Math
50
Code
50
Finance
40
Agents
40
Healthcare
30

定價

輸入價格$0.2 / 1M tokens
輸出價格$1.25 / 1M tokens
混合價格(3:1)$0.463 / 1M tokens
快取讀取價格$0.02 / 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

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外部連結