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
| डोमेन | #रैंक | स्कोर | स्रोत |
|---|---|---|---|
| एजेंटिक क्षमता | 75 | 42.0 | LS |
| कोडिंग रैंकिंग | 279 | 53.0 | AA |
| सामान्य रैंकिंग | 210 | 53.0 | AA |
| विज्ञान | 248 | 52.0 | AA |
बेंचमार्क स्कोर (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%स्वयं
Chat
TAU-bench Retail
67.8%स्वयं
General
MMLU
90.0%स्वयं
Healthcare
HealthBench
57.6%स्वयं
HealthBench Hard
30.0%स्वयं
Instruction Following
IFBench
69.5%स्वयं
Language
MMMLU
83.8%स्वयं
MMLU-Pro
80.7%स्वयं
Math
AIME 2025
92.5%स्वयं
CodeForces
0.82 / 3000स्वयं
Reasoning
LiveCodeBench v6
81.9%स्वयं
GPQANYU + Cohere + Anthropic (2023)
80.9%स्वयं
Humanity's Last Exam
14.9%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 126.2
Terminalbench Hard(Stanford × Laude Institute (2026))23.5
Hle(Center for AI Safety + Scale AI (2025))19.6
Tau Banking12.8
Intelligence Index(Artificial Analysis)11.6
Terminalbench V4 00.0
LLM Stats श्रेणी स्कोर
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
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।