Saltar al contenido
Alfa
  • Modelos
  • Clasificaciones
  • Ori
Hablar con ventas

Pie de página

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Producto

  • Chat
  • Clasificaciones
  • Pruebas de rendimiento
  • Aplicaciones
  • Descubrir
  • Modelos
  • Ori
  • Colecciones
  • Proveedores
  • Herramientas
  • Precios
  • Business
  • Enterprise
  • Laboratorio

Empresa

  • Acerca de
  • Blog
  • Clientes
  • Empleo
    Empleo
  • Privacidad
  • Términos del servicio
  • Centro de confianza
  • Soporte
  • Compatible con OR
  • Datos
  • Marca

Desarrollador

  • Documentación
  • Referencia de la API
  • Plataforma para desarrolladores
  • Estado
  • Mapa del sitio para IA

Conectar

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon de tngtech

Tngtech

Acceda a 3 Tngtech modelos a través de la API unificada de OpenRouter incluidos R1T Chimera, DeepSeek R1T2 Chimera y DeepSeek R1T Chimera. Compare precios, ventanas de contexto, pruebas de rendimiento y capacidades entre diferentes Tngtech modelos.

Tngtech solicitudes realizadas en OpenRouter

Aún no hay suficientes datos para mostrar.

  • Favicon de tngtech
    TNG: R1T ChimeraR1T Chimera

    TNG-R1T-Chimera is an experimental LLM with a faible for creative storytelling and character interaction. It is a derivate of the original TNG/DeepSeek-R1T-Chimera released in April 2025 and is available exclusively via Chutes and OpenRouter. Characteristics and improvements include: We think that it has a creative and pleasant personality. It has a preliminary EQ-Bench3 value of about 1305. It is quite a bit more intelligent than the original, albeit a slightly slower. It is much more think-token consistent, i.e. reasoning and answer blocks are properly delineated. Tool calling is much improved. TNG Tech, the model authors, ask that users follow the careful guidelines that Microsoft has created for their "MAI-DS-R1" DeepSeek-based model. These guidelines are available on Hugging Face (https://huggingface.co/microsoft/MAI-DS-R1).

    por tngtech26 nov 2025164K de contexto
  • Favicon de tngtech
    TNG: DeepSeek R1T2 ChimeraDeepSeek R1T2 Chimera

    DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The tri-parent design yields strong reasoning performance while running roughly 20 % faster than the original R1 and more than 2× faster than R1-0528 under vLLM, giving a favorable cost-to-intelligence trade-off. The checkpoint supports contexts up to 60 k tokens in standard use (tested to ~130 k) and maintains consistent <think> token behaviour, making it suitable for long-context analysis, dialogue and other open-ended generation tasks.

    por tngtech8 jul 2025164K de contexto
  • Favicon de tngtech
    TNG: DeepSeek R1T ChimeraDeepSeek R1T Chimera

    DeepSeek-R1T-Chimera is created by merging DeepSeek-R1 and DeepSeek-V3 (0324), combining the reasoning capabilities of R1 with the token efficiency improvements of V3. It is based on a DeepSeek-MoE Transformer architecture and is optimized for general text generation tasks. The model merges pretrained weights from both source models to balance performance across reasoning, efficiency, and instruction-following tasks. It is released under the MIT license and intended for research and commercial use.

    por tngtech27 abr 2025164K de contexto

Preguntas frecuentes

OpenRouter ofrece 3 modelos de Tngtech mediante una única API compatible con OpenAI. Cree una clave de API de OpenRouter, dirija su cliente a https://openrouter.ai/api/v1 y establezca el modelo en un ID como tngtech/tng-r1t-chimera. La guía de inicio rápido contiene ejemplos de solicitudes para cada SDK compatible.

R1T Chimera tiene la ventana de contexto más grande de todos los modelos de Tngtech en OpenRouter y acepta hasta 163.840 tókenes por solicitud.

R1T Chimera es el modelo de Tngtech añadido más recientemente a OpenRouter, incorporado el 26 de noviembre de 2025.