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
40
general
51
coding
91
reasoning
53
science
70
agents
0
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%自报
Biology
GPQANYU + Cohere + Anthropic (2023)
80.9%自报
Communication
TAU-bench Retail
67.8%自报
Finance
MMLU
90.0%自报
MMLU-Pro
80.7%自报
General
MMMLU
83.8%自报
LiveCodeBench v6
81.9%自报
IFBench
69.5%自报
Healthcare
HealthBench
57.6%自报
HealthBench Hard
30.0%自报
Math
AIME 2025
92.5%自报
CodeForces
0.82 / 3000自报
Humanity's Last Exam
14.9%自报
AA 评测指数
(Artificial Analysis)Math Index(Artificial Analysis)93.4
Coding Index(Artificial Analysis)30.4
Intelligence Index(Artificial Analysis)24.1
Aime 25(MAA (Mathematical Association of America))0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Ifbench(Google Research (2023))0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))0.7
Lcr(Artificial Analysis)0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench V2 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
LLM Stats 分类评分
(LLM Stats (zeroeval))Legal90
Language90
Finance90
Physics80
Biology80
Chemistry80
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
定价
输入价格$0.15 / 1M tokens
输出价格$0.6 / 1M tokens
混合价格(3:1)$0.262 / 1M tokens
缓存读取价格$0.03 / 1M tokens
速度
Tokens/秒159.3
首Token延迟0.56s
首回答延迟13.12s
供应商价格排行
供应商价格排行
18 个供应商
最便宜: LLM Gateway最贵: Regolo AI
供应商输入输出
1LLM Gateway最便宜
$0.032
$0.14
2Helicone
$0.04
$0.16
3DInference
$0.0675
$0.27
4Neon
$0.072
$0.28
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7CoralBricks
$0.12
$0.6
8OpenAI主要
$0.15
$0.6
9Scaleway
$0.15
$0.6
10FrogBot
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.188
$0.7
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2
比较该模型在不同 API 供应商之间的定价。