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gpt-oss-20b (high)

OpenAI開源權重Apache 2.0 · 商用許可

描述

The gpt-oss-20b model (technically 20.9B parameters) achieves near-parity with OpenAI o4-mini on core reasoning benchmarks, while running efficiently on a single 80 GB GPU. The gpt-oss-20b model delivers similar results to OpenAI o3‑mini on common benchmarks and can run on edge devices with just 16 GB of memory, making it ideal for on-device use cases, local inference, or rapid iteration without costly infrastructure. Both models also perform strongly on tool use, few-shot function calling, CoT reasoning (as seen in results on the Tau-Bench agentic evaluation suite) and HealthBench (even outperforming proprietary models like OpenAI o1 and GPT‑4o). Note: While referred to as '20b' for simplicity, it technically has 20.9B parameters.

發布日期
2025-08-05
參數規模
20.9B
上下文長度
131K
支援模態
text

能力雷達圖

32
general
42
coding
86
reasoning
45
science
50
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜285
39.0
AA
通用能力榜210
53.0
AA
科學能力246
48.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)74.2%自報

Communication

TAU-bench Retail54.8%自報

Finance

MMLU85.3%自報

Healthcare

HealthBench42.5%自報
HealthBench Hard10.8%自報

Math

AIME 202598.7%自報
CodeForces0.74 / 3000自報
Humanity's Last Exam10.9%自報

AA 評測指數

(Artificial Analysis)
Math Index(Artificial Analysis)
89.3
Coding Index(Artificial Analysis)
20.7
Intelligence Index(Artificial Analysis)
15.2
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.3
Terminalbench V2 1
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Language
90
Legal
90
Finance
90
Physics
70
Biology
70
Chemistry
70
Math
60
Reasoning
60
General
50
Healthcare
50
Communication
50
Tool Calling
50
Vision
10

定價

輸入價格$0.06 / 1M tokens
輸出價格$0.19 / 1M tokens
混合價格(3:1)$0.092 / 1M tokens
快取讀取價格$0.03 / 1M tokens

速度

Tokens/秒118.9
首Token延遲0.58s
首回答延遲17.40s

供應商價格排行

供應商價格排行

24 個供應商

最便宜: OpenRouter最貴: Regolo AI
供應商輸入輸出
1OpenRouter最便宜
$0.03
$0.13
2IO.NET
$0.03
$0.14
3Weights & Biases
$0.03
$0.13
4Deep Infra
$0.03
$0.14
5Kilo Gateway
$0.03
$0.13
6NovitaAI
$0.04
$0.15
7SiliconFlow
$0.04
$0.18
8LLM Gateway
$0.04
$0.15
9Merge Gateway
$0.04
$0.2
10Cortecs
$0.045
$0.167
11Helicone
$0.05
$0.2
12OVHcloud AI Endpoints
$0.05
$0.18
13Vercel AI Gateway
$0.05
$0.2
14FastRouter
$0.05
$0.2
15Together AI
$0.05
$0.2
16Neon
$0.05
$0.2
17OpenAI主要
$0.06
$0.19
18FrogBot
$0.07
$0.2
19Pioneer
$0.07
$0.3
20Groq
$0.075
$0.3
21Hugging Face
$0.1
$0.5
22STACKIT
$0.18
$0.29
23NanoGPT
$0.2
$0.3
24Regolo AI
$0.4
$1.8

比較該模型在不同 API 供應商之間的定價。

外部連結