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GPT-4o (Aug '24)

OpenAIGPTProprietary

描述

GPT-4o ('o' for 'omni') is a multimodal AI model that accepts text, audio, image, and video inputs, and generates text, audio, and image outputs. It matches GPT-4 Turbo performance on text and code, with improvements in non-English languages, vision, and audio understanding.

發布日期
2024-08-06
參數規模
上下文長度
128K
支援模態
image, pdf, text

能力雷達圖

8
general
32
coding
40
reasoning
35
science
50
agents
90
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜345
31.0
AA
通用能力榜487
23.0
AA
多模態榜42
49.0
LS
科學能力378
36.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)70.1%自報

Code

SWE-Bench Verified33.2%自報
SWE-Lancer32.6%自報
Aider-Polyglot30.7%自報
Aider-Polyglot Edit18.2%自報
SWE-Lancer (IC-Diamond subset)12.4%自報

Communication

Tau2 Retail63.4%自報
Multi-IF60.9%自報
TAU-bench Retail60.3%自報
Tau2 Airline45.5%自報
TAU-bench Airline42.8%自報
Multi-Challenge40.3%自報
Tau2 Telecom23.5%自報

Factuality

SimpleQA38.2%自報

Finance

MMLU85.7%自報
MMLU-Pro74.7%自報

General

MMMLU81.4%自報
IFEvalGoogle Research (2023)81.0%自報
MMMU72.2%自報
MMMU-Pro59.9%自報
Internal API instruction following (hard)29.2%自報

Healthcare

VideoMMMU61.2%自報

Image To Text

DocVQADocVQA (2020)92.8%自報

Language

COLLIE61.0%自報

Long Context

EgoSchema72.2%自報
ComplexFuncBench66.5%自報
OpenAI-MRCR: 2 needle 128k31.9%自報

Math

MathVista61.4%自報
AIME 202413.1%自報
Humanity's Last Exam5.3%自報

Multimodal

AI2D94.2%自報
ChartQAMasry et al. (2022)85.7%自報
CharXiv-D85.3%自報
CharXiv-R58.8%自報

Reasoning

Graphwalks BFS <128k41.7%自報
Graphwalks parents <128k35.4%自報
ERQA35.2%自報

Video

ActivityNet61.9%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
9.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Lcr(Artificial Analysis)
0.4
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Aime(MAA (Mathematical Association of America))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Image To Text
90
Legal
80
Finance
80
Multimodal
70
Physics
70
Instruction Following
70
Language
70
Healthcare
70
Biology
70
Chemistry
70
Vision
70
Long Context
60
Structured Output
60
Writing
60
Math
50
Reasoning
50
General
50
Communication
50
Tool Calling
50
Spatial Reasoning
40
Factuality
40
Frontend Development
30
Code
30

定價

輸入價格$2.5 / 1M tokens
輸出價格$10 / 1M tokens
混合價格(3:1)$4.375 / 1M tokens
快取讀取價格$1.25 / 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

2 個供應商

最便宜: OpenAI最貴: Azure
供應商輸入輸出
1OpenAI最便宜
$0
$0.00001
2Azure
$0
$0.00001

比較該模型在不同 API 供應商之間的定價。

外部連結