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gpt-oss-120b (high)

OpenAI开源权重Apache 2.0 · 商用许可

描述

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.

发布日期
2025-08-05
参数规模
116.8B
上下文长度
131K
支持模态
text

能力雷达图

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

排行榜排名

领域#排名分数来源
智能体能力模型榜75
42.0
LS
代码能力榜279
53.0
AA
通用能力榜210
53.0
AA
科学能力248
52.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%自报

Chat

TAU-bench Retail67.8%自报

General

MMLU90.0%自报

Healthcare

HealthBench57.6%自报
HealthBench Hard30.0%自报

Instruction Following

IFBench69.5%自报

Language

MMMLU83.8%自报
MMLU-Pro80.7%自报

Math

AIME 202592.5%自报
CodeForces0.82 / 3000自报

Reasoning

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

AA 评测指数

(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 分类评分

(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

定价

输入价格$0.15 / 1M tokens
输出价格$0.595 / 1M tokens
混合价格(3:1)$0.261 / 1M tokens

速度

Tokens/秒195.0
首Token延迟0.56s
首回答延迟10.82s

供应商价格排行

供应商价格排行

19 个供应商

最便宜: DeepInfra最贵: Opper
供应商输入输出
1DeepInfra最便宜
$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
7OpenAI主要
$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

比较该模型在不同 API 供应商之间的定价。

外部链接