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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

34
general
51
coding
91
reasoning
51
science
70
agents
0
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Агентные возможности75
42.0
LS
Рейтинг кодинга281
53.0
AA
Общий рейтинг211
53.0
AA
Наука250
52.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Сам.

Chat

TAU-bench Retail67.8%Сам.

General

MMLU90.0%Сам.

Healthcare

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

Instruction Following

IFBench69.5%Сам.

Language

MMMLU83.8%Сам.
MMLU-Pro80.7%Сам.

Math

AIME 202592.5%Сам.
CodeForces0.82 / 3000Сам.

Reasoning

LiveCodeBench v681.9%Сам.
GPQANYU + Cohere + Anthropic (2023)80.9%Сам.
Humanity's Last Exam14.9%Сам.

Индексы оценки AA

(Artificial Analysis)
Aime 25(MAA (Mathematical Association of America))
93.4
Math Index(Artificial Analysis)
93.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
87.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
80.8
Gpqa(NYU + Cohere + Anthropic (2023))
78.2
Ifbench(Google Research (2023))
69.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
65.8
Lcr(Artificial Analysis)
52.0
Scicode(UIUC + Argonne National Lab (2024))
34.0
Coding Index(Artificial Analysis)
30.4
Terminalbench V2 1
26.2
Terminalbench Hard(Stanford × Laude Institute (2026))
23.5
Hle(Center for AI Safety + Scale AI (2025))
19.6
Tau Banking
12.8
Intelligence Index(Artificial Analysis)
11.6
Terminalbench V4 0
0.0

Оценки категорий LLM Stats

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

Цены

Цена ввода$0.15 / 1M токенов
Цена вывода$0.595 / 1M токенов
Смешанная цена (3:1)$0.261 / 1M токенов

Скорость

Токенов/сек164.1
Задержка первого токена0.55s
Время до первого ответа12.74s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

19 провайдеров

Самый дешевый: DeepInfraСамый дорогой: Opper
ПровайдерВводВывод
1DeepInfraСамый дешевый
$0
$0
2DevPass (LLM Gateway)
$0.032
$0.14
3Helicone
$0.04
$0.16
4DInference
$0.0675
$0.27
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7OpenAIОсновной
$0.15
$0.595
8Scaleway
$0.15
$0.6
9FrogBot
$0.15
$0.6
10Neon
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.178
$0.68
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2
19Opper
$1.1622
$4.88124

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки