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gpt-oss-120b (high)

OpenAIOpen WeightApache 2.0 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2025-08-05
Parámetros
116.8B
Longitud del contexto
131K
Modalidades
text

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica75
42.0
LS
Ranking de codificación279
53.0
AA
Ranking general210
53.0
AA
Ciencia248
52.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Aut.

Chat

TAU-bench Retail67.8%Aut.

General

MMLU90.0%Aut.

Healthcare

HealthBench57.6%Aut.
HealthBench Hard30.0%Aut.

Instruction Following

IFBench69.5%Aut.

Language

MMMLU83.8%Aut.
MMLU-Pro80.7%Aut.

Math

AIME 202592.5%Aut.
CodeForces0.82 / 3000Aut.

Reasoning

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

Índices de evaluación AA

(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

Puntuaciones por categoría LLM Stats

(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

Precios

Precio de entrada$0.15 / 1M tokens
Precio de salida$0.595 / 1M tokens
Precio mixto (3:1)$0.261 / 1M tokens

Velocidad

Tokens/seg179.7
Retraso del primer token0.56s
Tiempo hasta la respuesta11.70s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

19 proveedores

Más barato: DeepInfraMás caro: Opper
ProveedorEntradaSalida
1DeepInfraMás barato
$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
7OpenAIPRINCIPAL
$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

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas