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gpt-oss-120b (high)

OpenAIओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2025-08-05
पैरामीटर
116.8B
संदर्भ लंबाई
131K
मोडैलिटीज़
text

क्षमता रडार

34
general
51
coding
91
reasoning
51
science
70
agents
0
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%स्वयं

Chat

TAU-bench Retail67.8%स्वयं

General

MMLU90.0%स्वयं

Healthcare

HealthBench57.6%स्वयं
HealthBench Hard30.0%स्वयं

Instruction Following

IFBench69.5%स्वयं

Language

MMMLU83.8%स्वयं
MMLU-Pro80.7%स्वयं

Math

AIME 202592.5%स्वयं
CodeForces0.82 / 3000स्वयं

Reasoning

LiveCodeBench v681.9%स्वयं
GPQANYU + Cohere + Anthropic (2023)80.9%स्वयं
Humanity's Last Exam14.9%स्वयं

AA मूल्यांकन सूचकांक

(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 1
26.2
Terminalbench Hard(Stanford × Laude Institute (2026))
23.5
Hle(Center for AI Safety + Scale AI (2025))
19.6
Tau Banking
12.8
Intelligence Index(Artificial Analysis)
11.6
Terminalbench V4 0
0.0

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Language
90
Legal
90
Finance
90
Physics
80
Biology
80
Chemistry
80
Chat
70
Reasoning
70
Communication
70
Tool Calling
70
Math
60
General
60
Healthcare
60
Vision
10

मूल्य निर्धारण

इनपुट मूल्य$0.15 / 1M टोकन
आउटपुट मूल्य$0.595 / 1M टोकन
मिश्रित मूल्य (3:1)$0.261 / 1M टोकन

गति

टोकन/सेकंड195.0
पहले टोकन में देरी0.56s
पहले उत्तर में देरी10.82s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

19 प्रदाता

सबसे सस्ता: DeepInfraसबसे महंगा: Opper
प्रदाताइनपुटआउटपुट
1DeepInfraसबसे सस्ता
$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
7OpenAIप्राथमिक
$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

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

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