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gpt-oss-120b (high)

OpenAIОткрытые весаApache 2.0 · Коммерческое использование

Описание

GPT-OSS-120B is an open-weight, 116.8B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation. It achieves near-parity with OpenAI o4-mini on core reasoning benchmarks. Note: While referred to as '120b' for simplicity, it technically has 116.8B parameters.

Дата выхода
2025-08-05
Параметры
116.8B
Длина контекста
131K
Модальности
text

Радар способностей

40
general
51
coding
91
reasoning
53
science
70
agents
0
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Агентные возможности88
42.0
LS
Рейтинг кодинга198
54.0
AA
Общий рейтинг143
62.0
AA
Наука164
60.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Сам.

Biology

GPQANYU + Cohere + Anthropic (2023)80.9%Сам.

Communication

TAU-bench Retail67.8%Сам.

Finance

MMLU90.0%Сам.
MMLU-Pro80.7%Сам.

General

MMMLU83.8%Сам.
LiveCodeBench v681.9%Сам.
IFBench69.5%Сам.

Healthcare

HealthBench57.6%Сам.
HealthBench Hard30.0%Сам.

Math

AIME 202592.5%Сам.
CodeForces0.82 / 3000Сам.
Humanity's Last Exam14.9%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
93.4
Coding Index(Artificial Analysis)
30.4
Intelligence Index(Artificial Analysis)
24.1
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Lcr(Artificial Analysis)
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench V2 1
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.2
Tau Banking
0.1

Оценки категорий LLM Stats

(LLM Stats (zeroeval))
Legal
90
Language
90
Finance
90
Physics
80
Biology
80
Chemistry
80
Reasoning
70
Communication
70
Tool Calling
70
Math
60
General
60
Healthcare
60
Vision
10

Цены

Цена ввода$0.15 / 1M токенов
Цена вывода$0.6 / 1M токенов
Смешанная цена (3:1)$0.262 / 1M токенов
Цена чтения кэша$0.03 / 1M токенов

Скорость

Токенов/сек159.3
Задержка первого токена0.56s
Время до первого ответа13.12s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

18 провайдеров

Самый дешевый: LLM GatewayСамый дорогой: Regolo AI
ПровайдерВводВывод
1LLM GatewayСамый дешевый
$0.032
$0.14
2Helicone
$0.04
$0.16
3DInference
$0.0675
$0.27
4Neon
$0.072
$0.28
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7CoralBricks
$0.12
$0.6
8OpenAIОсновной
$0.15
$0.6
9Scaleway
$0.15
$0.6
10FrogBot
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.188
$0.7
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки