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 | #Место | Оценка | Источник |
|---|---|---|---|
| Агентные возможности | 75 | 42.0 | LS |
| Рейтинг кодинга | 281 | 53.0 | AA |
| Общий рейтинг | 211 | 53.0 | AA |
| Наука | 250 | 52.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%Сам.
Chat
TAU-bench Retail
67.8%Сам.
General
MMLU
90.0%Сам.
Healthcare
HealthBench
57.6%Сам.
HealthBench Hard
30.0%Сам.
Instruction Following
IFBench
69.5%Сам.
Language
MMMLU
83.8%Сам.
MMLU-Pro
80.7%Сам.
Math
AIME 2025
92.5%Сам.
CodeForces
0.82 / 3000Сам.
Reasoning
LiveCodeBench v6
81.9%Сам.
GPQANYU + Cohere + Anthropic (2023)
80.9%Сам.
Humanity's Last Exam
14.9%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 126.2
Terminalbench Hard(Stanford × Laude Institute (2026))23.5
Hle(Center for AI Safety + Scale AI (2025))19.6
Tau Banking12.8
Intelligence Index(Artificial Analysis)11.6
Terminalbench V4 00.0
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
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.