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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

40
general
51
coding
91
reasoning
53
science
70
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica88
42.0
LS
Ranking de codificación198
54.0
AA
Ranking general143
62.0
AA
Ciencia164
60.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)80.9%Aut.

Communication

TAU-bench Retail67.8%Aut.

Finance

MMLU90.0%Aut.
MMLU-Pro80.7%Aut.

General

MMMLU83.8%Aut.
LiveCodeBench v681.9%Aut.
IFBench69.5%Aut.

Healthcare

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

Math

AIME 202592.5%Aut.
CodeForces0.82 / 3000Aut.
Humanity's Last Exam14.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
93.4
Coding Index(Artificial Analysis)
30.4
Intelligence Index(Artificial Analysis)
24.1
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Lcr(Artificial Analysis)
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench V2 1
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.2
Tau Banking
0.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
90
Language
90
Finance
90
Physics
80
Biology
80
Chemistry
80
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$0.6 / 1M tokens
Precio mixto (3:1)$0.262 / 1M tokens
Precio de lectura caché$0.03 / 1M tokens

Velocidad

Tokens/seg159.3
Retraso del primer token0.56s
Tiempo hasta la respuesta13.12s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

18 proveedores

Más barato: LLM GatewayMás caro: Regolo AI
ProveedorEntradaSalida
1LLM GatewayMás barato
$0.032
$0.14
2Helicone
$0.04
$0.16
3DInference
$0.0675
$0.27
4Neon
$0.072
$0.28
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7CoralBricks
$0.12
$0.6
8OpenAIPRINCIPAL
$0.15
$0.6
9Scaleway
$0.15
$0.6
10FrogBot
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.188
$0.7
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas