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OpenAI: gpt-oss-120b

openai/gpt-oss-120b

Pesos del modelo
Comparar

gpt-oss-120b is an open-weight, 117B-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.

Modalidades
Precio de entrada / salida
0,03 US$ / 0,15 US$por 1M
Contexto
131K
Publicado
5 ago 2025
Fecha de corte del conocimiento
jun 2024
Comparar
ProveedoresPreciosRendimientoTiempo de actividadPruebas de rendimientoAplicacionesActividadPreguntas frecuentesExplorar

Proveedores

Distintas empresas alojan el mismo modelo. OpenRouter dirige su solicitud a una de ellas según el modo de enrutamiento que elija: Equilibrado (precio + velocidad), Nitro (el más rápido) o Floor (el más barato).

Precios

El precio medio que los clientes pagan realmente por este modelo, junto a los precios que publican los proveedores. El uso de caché y los descuentos hacen que el precio realmente pagado a menudo sea muy inferior al publicado.

Rendimiento

La velocidad de generación indica lo rápido que escribe el modelo (tokens por segundo: cuanto mayor, mejor). La latencia es el tiempo total de ida y vuelta (cuanto menor, mejor). TTFT es el tiempo hasta el primer token: cuánto tarda en aparecer algo en pantalla (cuanto menor, mejor).

Tiempo de actividad

El tiempo de actividad es el porcentaje de los últimos 3 días en que al menos un proveedor respondía a las solicitudes. La disponibilidad es el porcentaje de tiempo en que la inferencia se sirvió correctamente. OpenRouter supervisa continuamente y utiliza el siguiente mejor proveedor cuando uno devuelve un error.

Pruebas de rendimiento

Puntuaciones en evaluaciones estandarizadas y respuestas de este modelo a instrucciones compartidas de las pruebas de referencia. Los porcentajes más altos son mejores, y cada posición indica dónde se sitúa este modelo entre los modelos evaluados en esa fuente.

Resumen de puntuaciones en pruebas de rendimiento de OpenAI: gpt-oss-120b (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial Analysisgpt-oss-120b (High) Coding Index30,4
Artificial Analysisgpt-oss-120b (High) Agentic Index3,7
Artificial Analysisgpt-oss-120b (High) GPQA Diamond78.2%
Artificial Analysisgpt-oss-120b (High) HLE19.6%
Artificial Analysisgpt-oss-120b (High) IFBench69.0%
Artificial Analysisgpt-oss-120b (High) τ²-Bench Telecom65.8%
Artificial Analysisgpt-oss-120b (High) AA-LCR52.0%
Artificial Analysisgpt-oss-120b (High) τ-Bench Banking12.8%
Artificial Analysisgpt-oss-120b (High) GDPval-AA5.8%
Artificial Analysisgpt-oss-120b (High) CritPt1.1%
Artificial Analysisgpt-oss-120b (High) LiveCodeBench87.8%
Artificial Analysisgpt-oss-120b (High) SciCode34.0%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench Hard23.5%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench 4.00.0%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench 2.126.2%
Artificial Analysisgpt-oss-120b (High) MMLU-Pro80.8%
Artificial Analysisgpt-oss-120b (High) AIME 202593.4%
Artificial Analysisgpt-oss-120b (Low) Coding Index21,2
Artificial Analysisgpt-oss-120b (Low) GPQA Diamond67.2%
Artificial Analysisgpt-oss-120b (Low) HLE5.9%
Artificial Analysisgpt-oss-120b (Low) IFBench58.3%
Artificial Analysisgpt-oss-120b (Low) τ²-Bench Telecom45.0%
Artificial Analysisgpt-oss-120b (Low) AA-LCR46.0%
Artificial Analysisgpt-oss-120b (Low) τ-Bench Banking2.9%
Artificial Analysisgpt-oss-120b (Low) GDPval-AA0.0%
Artificial Analysisgpt-oss-120b (Low) CritPt0.0%
Artificial Analysisgpt-oss-120b (Low) LiveCodeBench70.7%
Artificial Analysisgpt-oss-120b (Low) Terminal-Bench Hard5.3%
Artificial Analysisgpt-oss-120b (Low) Terminal-Bench 2.113.9%
Artificial Analysisgpt-oss-120b (Low) MMLU-Pro77.5%
Artificial Analysisgpt-oss-120b (Low) AIME 202566.7%
Design ArenaGPT OSS 120B Models Arena 3D Elo898
Design ArenaGPT OSS 120B Models Arena Code Categories Elo961
Design ArenaGPT OSS 120B Models Arena Data Visualization Elo987
Design ArenaGPT OSS 120B Models Arena Game Development Elo992
Design ArenaGPT OSS 120B Models Arena UI Component Elo921
Design ArenaGPT OSS 120B Models Arena Website Elo966
Vals AIGPT OSS 120B AIME92.6%
Vals AIGPT OSS 120B CaseLaw v248.8%
Vals AIGPT OSS 120B CorpFin v258.2%
Vals AIGPT OSS 120B Finance Agent v1.121.5%
Vals AIGPT OSS 120B GPQA Diamond78.5%
Vals AIGPT OSS 120B LiveCodeBench83.2%
Vals AIGPT OSS 120B LegalBench75.9%
Vals AIGPT OSS 120B MATH 50094.8%
Vals AIGPT OSS 120B MedQA91.4%
Vals AIGPT OSS 120B MGSM92.0%
Vals AIGPT OSS 120B MMLU Pro79.2%
Vals AIGPT OSS 120B SWE-bench33.6%
Vals AIGPT OSS 120B TaxEval v271.6%
Vals AIGPT OSS 120B Terminal-Bench 2.019.1%

Aplicaciones

Aplicaciones públicas que envían más tráfico a este modelo. Una buena señal de cómo son las cargas de trabajo reales en producción, y una pista sobre los casos de uso para los que este modelo es más adecuado.

Actividad

Volumen de tokens y tráfico de solicitudes a este modelo a lo largo del tiempo.

API

Código listo para usar para llamar a este modelo. La API de OpenRouter es compatible con OpenAI: la mayoría de los SDK funcionan con solo cambiar la URL base. Lo único que cambia entre modelos es el identificador del modelo que aparece a continuación.

Disponible mediante enrutamiento dentro de la región de la UE

OpenAI: gpt-oss-120b está disponible mediante el enrutamiento dentro de la región de la UE. Las solicitudes enviadas a eu.openrouter.ai se descifran en la UE y se enrutan únicamente a endpoints compartidos de proveedores en Europa (la UE/el EEE, el Reino Unido y Suiza).

Proveedores en Europa
Amazon Bedrock
Precios en Europa
  • Amazon Bedrock: 0,15 US$/M tokens de entrada, 0,60 US$/M tokens de salida
URL base
https://eu.openrouter.ai/api/v1
Plan
Requiere Business o Enterprise. Autoservicio en Business: sin contrato ni mínimo mensual. OpenRouter Business para el enrutamiento dentro de la UE

Falla de forma cerrada: si no hay ningún endpoint de proveedor compartido disponible en Europa, la solicitud devuelve un error en lugar de salir de la región. Las solicitudes atendidas con su propia clave BYOK se dirigen a la región de su despliegue, que usted controla. Documentación de enrutamiento dentro de la región

Explorar más modelos

Clasificaciones de modelos de IAClasificación
Latencia / rendimiento
0,030 US$0,150 US$0,015 US$0,63s47 tps
100,00 %
0,030 US$0,150 US$0,030 US$0,77s44 tps
98,84 %
0,030 US$0,170 US$0,030 US$0,31s108 tps
100,00 %
0,030 US$0,180 US$0,030 US$0,46s81 tps
100,00 %
0,030 US$0,187 US$0,030 US$0,32s140 tps
100,00 %
0,031 US$0,116 US$0,028 US$0,62s75 tps
99,22 %
0,037 US$0,170 US$--0,47s32 tps
99,93 %
0,050 US$0,250 US$0,050 US$0,24s245 tps
100,00 %
0,050 US$0,250 US$--0,68s175 tps
99,62 %
0,055 US$0,250 US$--0,85s47 tps
99,90 %
0,060 US$0,400 US$0,030 US$0,59s151 tps
100,00 %
0,060 US$0,420 US$0,012 US$0,62s51 tps
100,00 %
0,100 US$0,500 US$0,100 US$0,16s188 tps
99,39 %
0,100 US$0,500 US$0,100 US$0,19s191 tps
98,94 %
0,100 US$0,750 US$0,055 US$0,37s175 tps
100,00 %
0,140 US$0,950 US$--0,88s399 tps
99,79 %
0,150 US$0,600 US$0,100 US$0,27s316 tps
99,62 %
0,150 US$0,600 US$--0,54s333 tps
100,00 %
0,150 US$0,600 US$0,075 US$1,14s36 tps
89,20 %
0,150 US$0,600 US$--0,81s168 tps
99,37 %
0,150 US$0,600 US$0,075 US$0,18s335 tps
99,83 %
0,150 US$0,750 US$--0,90s214 tps
96,46 %
0,350 US$0,750 US$0,350 US$0,16s809 tps
100,00 %
0,090 US$0,360 US$--0,33s49 tps
2,62 %
0,150 US$0,600 US$--0,24s147 tps
97,39 %
0,200 US$0,950 US$--1,55s56 tps
84,91 %
No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
0,150 US$0,600 US$--0,41s181 tps
100,00 %
Rendimiento
809tok/s

P50, el mejor entre los proveedores

Latencia
0,16s

P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchAmazon Bedrock76,8 %--Amazon Bedrock (EU)76,8 %--Google Vertex72,6 %--AkashML77,4 %66,5 %Sail Research77,0 %66,7 %NEAR AI76,6 %66,8 %
+20 proveedores más
Tiempo de actividad (3 d)El modelo estaba accesible. Solicitud enrutada a un proveedor.
100,00 %
Disponibilidad (3 d)El modelo devolvió una inferencia de cualquier proveedor. Los errores y las respuestas vacías cuentan en su contra.
99,63 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,63 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,72 %
Without Routing
90,86 %

Cuando se produce un error en un proveedor ascendente, podemos recuperarnos enrutando la solicitud a otro proveedor que funcione correctamente, si los filtros de su solicitud lo permiten. Puede acceder mediante programación a los datos de tiempo de actividad de cada proveedor a través de la API de endpoints. Obtenga más información sobre nuestras opciones de equilibrio de carga y enrutamiento de proveedores.

1.
Favicon de https://convosight.com/
cvi-magic-tasks-ai-tagging
nuevo
45,6Btókenes
2.
Favicon de https://mira.tg/
Mira
Mira is a Telegram-native AI assistant.
35,9Btókenes
3.
Favicon de https://op.gg/
OP.GG
nuevo
27Btókenes
4.
Favicon de https://apollo.halan.io/
LibreChat
nuevo
15,9Btókenes
5.
Favicon de https://craftrpgs.com/?utm_source=openrouter
Craft
Build and play AI RPGs
12,2Btókenes

Preguntas frecuentes

gpt-oss-120b is an open-weight, 117B-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.

gpt-oss-120b cuesta 0,03 US$/M de tokens de entrada y 0,15 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,015 US$/M tokens.

gpt-oss-120b tiene una ventana de contexto de 131.072 tókenes. Admite hasta 131.072 tókenes de respuesta.

Sí. gpt-oss-120b acepta tools y tool_choice para llamadas a funciones en 20 de los 24 proveedores que lo ofrecen, y las solicitudes que envían herramientas se enrutan a esos proveedores. También admite salidas estructuradas mediante un esquema JSON en response_format.

gpt-oss-120b está disponible a través de 24 proveedores en OpenRouter: NEAR AI, Venice, CoreWeave, DekaLLM, AkashML, Prime Intellect, DeepInfra (fp8), Crusoe y 16 más. Las solicitudes se enrutan al mejor proveedor disponible, con conmutación automática a los demás en caso de fallo, y puede fijar o excluir proveedores mediante el enrutamiento de proveedores.

gpt-oss-120b se lanzó el 5 de agosto de 2025. Su fecha límite de conocimientos es 30 de junio de 2024.

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gpt-oss-120b cuesta 0,03 US/Mdetokensdeentraday0,15 US/M de tokens de entrada y 0,15 US/Mdetokensdeentraday0,15 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,015 US$/M tokens.