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
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%自報
Chat
TAU-bench Retail
67.8%自報
General
MMLU
90.0%自報
Healthcare
HealthBench
57.6%自報
HealthBench Hard
30.0%自報
Instruction Following
IFBench
69.5%自報
Language
MMMLU
83.8%自報
MMLU-Pro
80.7%自報
Math
AIME 2025
92.5%自報
CodeForces
0.82 / 3000自報
Reasoning
LiveCodeBench v6
81.9%自報
GPQANYU + Cohere + Anthropic (2023)
80.9%自報
Humanity's Last Exam
14.9%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 126.2
Terminalbench Hard(Stanford × Laude Institute (2026))23.5
Hle(Center for AI Safety + Scale AI (2025))19.6
Tau Banking12.8
Intelligence Index(Artificial Analysis)11.6
Terminalbench V4 00.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
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。