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gpt-oss-20b (high)

OpenAIओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2025-08-05
पैरामीटर
20.9B
संदर्भ लंबाई
131K
मोडैलिटीज़
text

क्षमता रडार

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

रैंकिंग

डोमेन#रैंकस्कोरस्रोत
कोडिंग रैंकिंग374
38.0
AA
सामान्य रैंकिंग253
48.0
AA
विज्ञान306
46.0
AA

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Chat

TAU-bench Retail54.8%स्वयं

General

MMLU85.3%स्वयं

Healthcare

HealthBench42.5%स्वयं
HealthBench Hard10.8%स्वयं

Math

AIME 202598.7%स्वयं
CodeForces0.74 / 3000स्वयं

Reasoning

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

AA मूल्यांकन सूचकांक

(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
Terminalbench V4 0
0.0

LLM Stats श्रेणी स्कोर

(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

मूल्य निर्धारण

इनपुट मूल्य$0.07 / 1M टोकन
आउटपुट मूल्य$0.18 / 1M टोकन
मिश्रित मूल्य (3:1)$0.098 / 1M टोकन
कैश पठन मूल्य$0.009 / 1M टोकन

गति

टोकन/सेकंड180.3
पहले टोकन में देरी0.42s
पहले उत्तर में देरी11.52s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

26 प्रदाता

सबसे सस्ता: DeepInfraसबसे महंगा: Regolo AI
प्रदाताइनपुटआउटपुट
1DeepInfraसबसे सस्ता
$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
17OpenAIप्राथमिक
$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

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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