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gpt-oss-20b (high)

OpenAI开源权重Apache 2.0 · 商用许可

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.

发布日期
2025-08-05
参数规模
20.9B
上下文长度
131K
支持模态
text

能力雷达图

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

排行榜排名

领域#排名分数来源
代码能力榜293
39.0
AA
通用能力榜218
53.0
AA
科学能力256
48.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)74.2%自报

Communication

TAU-bench Retail54.8%自报

Finance

MMLU85.3%自报

Healthcare

HealthBench42.5%自报
HealthBench Hard10.8%自报

Math

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

AA 评测指数

(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 分类评分

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

定价

输入价格$0.06 / 1M tokens
输出价格$0.19 / 1M tokens
混合价格(3:1)$0.092 / 1M tokens

速度

Tokens/秒113.8
首Token延迟0.65s
首回答延迟18.23s

供应商价格排行

供应商价格排行

8 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
$0.04
$0.15
2Cortecs
$0.045
$0.167
3Helicone
$0.05
$0.2
4OVHcloud AI Endpoints
$0.05
$0.18
5Neon
$0.05
$0.2
6OpenAI主要
$0.06
$0.19
7FrogBot
$0.07
$0.2
8Regolo AI
$0.4
$1.8

比较该模型在不同 API 供应商之间的定价。

外部链接