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gpt-oss-120b (high)

OpenAI오픈 웨이트Apache 2.0 · 상업적 사용 가능

설명

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.

출시일
2025-08-05
파라미터
116.8B
컨텍스트 길이
131K
모달리티
text

능력 레이더

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

랭킹

도메인#순위점수소스
에이전트형 역량75
42.0
LS
코딩 랭킹279
53.0
AA
종합 랭킹210
53.0
AA
과학248
52.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%자체 보고

Chat

TAU-bench Retail67.8%자체 보고

General

MMLU90.0%자체 보고

Healthcare

HealthBench57.6%자체 보고
HealthBench Hard30.0%자체 보고

Instruction Following

IFBench69.5%자체 보고

Language

MMMLU83.8%자체 보고
MMLU-Pro80.7%자체 보고

Math

AIME 202592.5%자체 보고
CodeForces0.82 / 3000자체 보고

Reasoning

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

AA 평가 지수

(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

LLM Stats 카테고리 점수

(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

가격

입력 가격$0.15 / 1M 토큰
출력 가격$0.595 / 1M 토큰
혼합 가격 (3:1)$0.261 / 1M 토큰

속도

토큰/초195.0
첫 토큰 지연0.56s
첫 응답 지연10.82s

공급자 가격 순위

공급자 가격 순위

19개 공급자

최저가: DeepInfra최고가: Opper
공급자입력출력
1DeepInfra최저가
$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
7OpenAI주요
$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

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