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gpt-oss-120b (High)

OpenAI開源權重Apache 2.0 · 商用許可

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.

發布日期
2025-08-05
參數規模
116.8B
上下文長度
131K
支援模態
text

能力雷達圖

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜75
42.0
LS
程式碼能力榜281
53.0
AA
通用能力榜211
53.0
AA
科學能力250
52.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%自報

Chat

TAU-bench Retail67.8%自報

General

MMLU90.0%自報

Healthcare

HealthBench57.6%自報
HealthBench Hard30.0%自報

Instruction Following

IFBench69.5%自報

Language

MMMLU83.8%自報
MMLU-Pro80.7%自報

Math

AIME 202592.5%自報
CodeForces0.82 / 3000自報

Reasoning

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

AA 評測指數

(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 分類評分

(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

定價

輸入價格$0.15 / 1M tokens
輸出價格$0.595 / 1M tokens
混合價格(3:1)$0.261 / 1M tokens

速度

Tokens/秒164.1
首Token延遲0.55s
首回答延遲12.74s

供應商價格排行

供應商價格排行

19 個供應商

最便宜: DeepInfra最貴: Opper
供應商輸入輸出
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

比較該模型在不同 API 供應商之間的定價。

外部連結