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gpt-oss-20b (high)

OpenAIОткрытые весаApache 2.0 · Коммерческое использование

Описание

The gpt-oss-20b model (technically 20.9B parameters) achieves near-parity with OpenAI o4-mini on core reasoning benchmarks, while running efficiently on a single 80 GB GPU. The gpt-oss-20b model delivers similar results to OpenAI o3‑mini on common benchmarks and can run on edge devices with just 16 GB of memory, making it ideal for on-device use cases, local inference, or rapid iteration without costly infrastructure. Both models also perform strongly on tool use, few-shot function calling, CoT reasoning (as seen in results on the Tau-Bench agentic evaluation suite) and HealthBench (even outperforming proprietary models like OpenAI o1 and GPT‑4o). Note: While referred to as '20b' for simplicity, it technically has 20.9B parameters.

Дата выхода
2025-08-05
Параметры
20.9B
Длина контекста
131K
Модальности
text

Радар способностей

32
general
42
coding
86
reasoning
45
science
50
agents
0
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Рейтинг кодинга293
39.0
AA
Общий рейтинг218
53.0
AA
Наука256
48.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)74.2%Сам.

Communication

TAU-bench Retail54.8%Сам.

Finance

MMLU85.3%Сам.

Healthcare

HealthBench42.5%Сам.
HealthBench Hard10.8%Сам.

Math

AIME 202598.7%Сам.
CodeForces0.74 / 3000Сам.
Humanity's Last Exam10.9%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
89.3
Coding Index(Artificial Analysis)
20.7
Intelligence Index(Artificial Analysis)
15.2
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.3
Terminalbench V2 1
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.1

Оценки категорий LLM Stats

(LLM Stats (zeroeval))
Legal
90
Language
90
Finance
90
Physics
70
Biology
70
Chemistry
70
Math
60
Reasoning
60
General
50
Healthcare
50
Communication
50
Tool Calling
50
Vision
10

Цены

Цена ввода$0.06 / 1M токенов
Цена вывода$0.19 / 1M токенов
Смешанная цена (3:1)$0.092 / 1M токенов

Скорость

Токенов/сек113.8
Задержка первого токена0.65s
Время до первого ответа18.23s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

8 провайдеров

Самый дешевый: LLM GatewayСамый дорогой: Regolo AI
ПровайдерВводВывод
1LLM GatewayСамый дешевый
$0.04
$0.15
2Cortecs
$0.045
$0.167
3Helicone
$0.05
$0.2
4OVHcloud AI Endpoints
$0.05
$0.18
5Neon
$0.05
$0.2
6OpenAIОсновной
$0.06
$0.19
7FrogBot
$0.07
$0.2
8Regolo AI
$0.4
$1.8

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки