メインコンテンツへスキップ

gpt-oss-20b (high)

OpenAIオープンウエイトApache 2.0 · 商用利用可

説明

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.

リリース日
2025-08-05
パラメータ
20.9B
コンテキスト長
131K
モダリティ
text

能力レーダー

29
general
42
coding
86
reasoning
47
science
50
agents
0
multimodal

ランキング

ドメイン#順位スコアソース
コーディングランキング372
38.0
AA
総合ランキング253
48.0
AA
科学305
46.0
AA

ベンチマークスコア (LLM Stats)

(LLM Stats (zeroeval))

Chat

TAU-bench Retail54.8%自己申告

General

MMLU85.3%自己申告

Healthcare

HealthBench42.5%自己申告
HealthBench Hard10.8%自己申告

Math

AIME 202598.7%自己申告
CodeForces0.74 / 3000自己申告

Reasoning

GPQANYU + Cohere + Anthropic (2023)74.2%自己申告
Humanity's Last Exam10.9%自己申告

AA評価指数

(Artificial Analysis)
Aime 25(MAA (Mathematical Association of America))
89.3
Math Index(Artificial Analysis)
89.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
77.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
74.8
Gpqa(NYU + Cohere + Anthropic (2023))
68.8
Ifbench(Google Research (2023))
65.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
60.2
Scicode(UIUC + Argonne National Lab (2024))
38.9
Lcr(Artificial Analysis)
34.7
Coding Index(Artificial Analysis)
20.7
Terminalbench V2 1
13.9
Hle(Center for AI Safety + Scale AI (2025))
11.0
Terminalbench Hard(Stanford × Laude Institute (2026))
10.6
Intelligence Index(Artificial Analysis)
9.0
Tau Banking
7.0

LLM Statsカテゴリスコア

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

価格設定

入力価格$0.07 / 1Mトークン
出力価格$0.18 / 1Mトークン
混合価格(3:1)$0.098 / 1Mトークン
キャッシュ読み取り価格$0.009 / 1Mトークン

速度

トークン/秒182.7
初トークン遅延0.42s
初回答遅延11.37s

プロバイダー価格ランキング

プロバイダー価格ランキング

26 プロバイダー

最安: DeepInfra最高: Regolo AI
プロバイダー入力出力
1DeepInfra最安
$0
$0
2OpenRouter
$0.018
$0.09
3Kilo Gateway
$0.018
$0.09
4IO.NET
$0.03
$0.14
5CoreWeave
$0.03
$0.13
6Deep Infra
$0.03
$0.14
7Vercel AI Gateway
$0.03
$0.14
8NovitaAI
$0.04
$0.15
9SiliconFlow
$0.04
$0.18
10DevPass (LLM Gateway)
$0.04
$0.19
11Merge Gateway
$0.04
$0.2
12Cortecs
$0.045
$0.167
13Helicone
$0.05
$0.2
14OVHcloud AI Endpoints
$0.05
$0.18
15FastRouter
$0.05
$0.2
16Together AI
$0.05
$0.2
17OpenAIプライマリ
$0.07
$0.18
18FrogBot
$0.07
$0.2
19Neon
$0.07
$0.3
20Pioneer
$0.07
$0.3
21Groq
$0.075
$0.3
22Hugging Face
$0.1
$0.5
23Opper
$0.11622
$0.48812
24STACKIT
$0.18
$0.29
25NanoGPT
$0.2
$0.3
26Regolo AI
$0.4
$1.8

このモデルの異なるAPIプロバイダー間の価格を比較。

外部リンク