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GPT-5 (high)

OpenAIGPTProprietary

Описание

GPT-5 is a flagship model from OpenAI designed for coding, reasoning, and agentic tasks across domains. It is optimized for coding and agentic tasks with higher reasoning capabilities and medium speed.

Дата выхода
2025-08-07
Параметры
Длина контекста
400K
Модальности
image, text

Радар способностей

50
general
55
coding
95
reasoning
59
science
80
agents
90
multimodal

Рейтинги

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)54.9%Сам.

Biology

GPQANYU + Cohere + Anthropic (2023)87.3%Сам.

Code

SWE-Lancer (IC-Diamond subset)100.0%Сам.
HumanEvalOpenAI (2021)93.4%Сам.
Aider-Polyglot88.0%Сам.
SWE-Bench Verified74.9%Сам.

Communication

Tau2 Telecom96.7%Сам.
Tau2 Retail81.1%Сам.
Multi-Challenge69.6%Сам.
Tau2 Airline62.6%Сам.

Finance

MMLU92.5%Сам.

General

MMMU84.2%Сам.
MMMU-Pro78.4%Сам.
Internal API instruction following (hard)64.0%Сам.
LongFact Objects0.8%Сам.
LongFact Concepts0.7%Сам.

Healthcare

VideoMMMU84.6%Сам.
HealthBench Hard1.6%Сам.

Language

COLLIE99.0%Сам.

Long Context

OpenAI-MRCR: 2 needle 128k95.2%Сам.
OpenAI-MRCR: 2 needle 256k86.8%Сам.

Math

AIME 202594.6%Сам.
HMMT 202593.3%Сам.
MATH84.7%Сам.
FrontierMath26.3%Сам.
Humanity's Last Exam24.8%Сам.

Multimodal

VideoMME w sub.86.7%Сам.
CharXiv-R81.1%Сам.

Reasoning

BrowseComp Long Context 128k90.0%Сам.
BrowseComp Long Context 256k88.8%Сам.
Graphwalks BFS <128k78.3%Сам.
Graphwalks parents <128k73.3%Сам.
ERQA65.7%Сам.
FActScoreMin et al. (NYU/UW, 2023)1.0%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
94.3
Coding Index(Artificial Analysis)
37.8
Intelligence Index(Artificial Analysis)
35.3
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Aime(MAA (Mathematical Association of America))
1.0
Aime 25(MAA (Mathematical Association of America))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Lcr(Artificial Analysis)
0.8
Ifbench(Google Research (2023))
0.7
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench V2 1
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.3
Tau Banking
0.2

Оценки категорий LLM Stats

(LLM Stats (zeroeval))
Spatial Reasoning
7
Vision
4
Reasoning
2
General
1
Long Context
100
Language
100
Writing
100
Legal
90
Physics
90
Finance
90
Biology
90
Chemistry
90
Code
90
Video
90
Multimodal
80
Communication
80
Tool Calling
80
Math
70
Search
70
Frontend Development
70
Healthcare
70
Structured Output
60
Agents
50

Цены

Цена ввода$1.25 / 1M токенов
Цена вывода$10 / 1M токенов
Смешанная цена (3:1)$3.438 / 1M токенов
Цена чтения кэша$0.125 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

1 провайдеров

ПровайдерВводВывод
1OpenAIОсновной
$1.25
$10

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки